Better systems. Less chasing. Room to dream bigger.

Makes Eleven helps you automate the most tedious parts of your day-to-day job. With 10,000+ integrations and service offerings, we empower businesses everywhere to create processes and systems that let computers do what they are best at doing and let humans do what they are best at doing.

We’re just some humans who think computers should do more work.

Illustrative preview
Collect the documentsLease, ID and income files gathered from the inbox, the portal and the shared drive.
Flag what is missingEvery file checked against the checklist, with the gaps named rather than guessed.
Your compliance lead approvesNothing moves until a named person approves it, in the system you already use.

Hybrid intelligence

Power of technology + power of people

  • We automate workflows inside the systems you already run, like Salesforce, using only as much AI as each step needs. Automations
  • We train your IT team to run Claude and your other AI tools well, including how to keep usage costs down. Skills Enablement
  • We give your people approved AI, set up under your own rules, so nobody needs shadow AI. Governance
  • We secure your systems to the standard insurers ask for. AI risk
A single small white boat on bright open water near a shoreline, seen from above

Focus on needs before technology.

  • We find where your margin leaks and what to fix first, before you spend on any tool. Strategy Consulting
  • We put software on one repeatable task, end to end, and measure it against your own day-one numbers. Automations
  • We let you ask your own data questions in plain English and get the source with every answer. Dashboards
  • We train your people on your own workflows, not a generic demo. Training

Who we serve

Watch the work move.

Try one process. See what changes.

Workflow playground Simulated demo
Ready
Nothing is sent, signed, paid or released from this demo.

See the work behind the result.

Explore the process, the measurement, and the output. Three from the collection, chosen for your industry when you have named one.

See all results →

Build confidence and trust.

We keep a human in the loop: autonomy is set task by task, and a person approves anything that leaves your firm.

We govern every agent with a written register of 37 classes of refused action, and it never shrinks.

We have a licensed CPA inspect every financial deliverable, as advisory work, with no financial-statement audit, review or other attest report issued.

We never train on your data, and we put that in your contract.

Built to compound.

Together. The capacity created by combining both: judgment spent where it matters, volume carried by systems that are bounded and logged. Autonomous can’t mean unaccountable.

Talk it through

Together, we compound.

Government practice

Built for governments that
answer to everyone.

We bring careful AI to agencies nationwide: permitting prescreens, constituent services in dozens of languages, and records processing that keeps pace with the law.

An empty, ornate council chamber

How we work with public agencies

Pilot-sized by design

We scope diagnostics and pilots to your small-purchase process, so you see proof before procurement.

Framework-aligned

We follow the NIST AI Risk Management Framework and state guidance, with human approval and audit trails from day one.

Equity, tested

We test your system for bias and disparate impact as an engineering step, standard in our deployments, so it serves everyone.

Records-aware

We design what is logged, retained and producible around your public-records duties before the first document moves.

Where it helps first

Start where the queue is longest.

  • Permitting triage and prescreen
  • Housing program intake and eligibility
  • FOIA and records-request processing
  • 311 and constituent services
A public plaza seen from above, people crossing in every direction
Who it serves

The queue the public feels.

We start with the work people stand in line for, permits, records requests and constituent service, and size each pilot to a small purchase.

Where we work

Public agencies, nationwide.

We bring a founder from affordable-housing finance and compliance to agencies where service demand outpaces staff.

Scope a pilot →

Built for contractors who
answer to a contracting officer.

The desk assembles and checks capture, the compliance matrix and past performance; the bid, the submission and the signature stay with a person. Nationwide.

A latticed white tower seen through an oval skylight, from inside a curved concrete shell

Leverage industry expertise

We bring two advisors who have worked inside the world you sell into, so week one asks your real questions.

Wylie “Sid” Darden, Strategic Advisor, Cybersecurity. He is a former U.S. Air Force cyber operations officer with a Top Secret clearance and the CISSP. Joshua House, Strategic Advisor, Automations. He spent six years in EY’s government and public sector technology-delivery practice and holds a Top Secret clearance. Both are on the team page with their credentials.

  • Capture and proposal operations. We run every pursuit as a record with a stage and a gate, and your capture lead and proposal manager keep the bid and the submission.
  • Compliance evidence. We keep your obligations in a register with the evidence beside each one, all year, not the week before an audit.
  • Cost and invoice records. We assemble timesheets, charge codes and invoices with the trail an auditor asks for, every figure recomputed independently.
  • Subcontractor management. We pair the prime’s clauses against each subcontract, flag the gaps and draft flow-down language for counsel.

Build confidence and trust.

We write down, log and make checkable everything around your work.

We keep your data in the systems you already run, isolate each client, do not train on your data, contractually, and log every agent action. A named person on your team signs, files, submits and pays, and answers for anything that reaches a contracting officer, a regulator or a counterparty. Access we hold is scoped case by case under our cybersecurity advisory.

The contracting desk, simulated.

We run four contracting workflows on invented records, every name and figure made up, so you can press the controls.

Compliance matrix

One page of a fictional Section C becomes a matrix. Every shall and must lands as a row, traced to its paragraph.

Simulated demo

Ready. The excerpt is on the left; the matrix is empty until you shred it.

Section C, excerpt (invented)

C.1 Background. The Bureau of Regional Transit, a fictional agency, runs a fare system across four counties. Every name and number in this excerpt is invented for this page. The Bureau’s own staff keep the general ledger; this contract covers the fare side only.

C.2 Scope of work. The Contractor shall reconcile daily fare revenue against the settlement records of each payment processor. The Contractor shall deliver a monthly reconciliation report to the Contracting Officer’s Representative by the tenth business day of the following month. Any variance above the threshold in Attachment 2 must be itemized with the source record beside it.

C.3 Records and access. The Contractor shall retain working papers for three years after final payment. Access to Bureau systems must be limited to the persons the Bureau names in writing.

C.4 Transition. The Contractor shall provide transition support to a successor for a reasonable period. A reasonable period is not defined elsewhere in this excerpt.

C.5 Reporting and staffing. The Contractor shall present a written status report at each monthly meeting. The Contractor must notify the Bureau of any change in key personnel within five business days. Deliverables shall be in a format the Bureau can open without proprietary software.

Response section Owner Status

Nothing shredded yet. Press Shred the excerpt and each shall and must lands as a row.

The proposal manager assigns owners and answers the ambiguity. Nothing here is a proposal.

Nothing here is signed, filed, paid, submitted or sent.

Capture pipeline

Every pursuit is a card in a stage. Every gate is a question someone answers. The bid decision stays a person’s call.

Simulated demo

Ready. Open a card to read its record; the card in Qualified has a gate.

Identified

    Qualified

      Capture

        Proposal

          Proposal manager submitted

            The capture lead decides bid or no-bid, and the proposal manager submits.

            Nothing here is signed, filed, paid, submitted or sent.

            Two people seen from above, small in a wide atrium striped with daylight

            One process, one accountable seat, one month running both ways.

            We start with one process and one accountable seat named in writing on day one; if the baseline has not moved by day 30, you can stop.

            How an engagement is shaped

            Clause tracker and flow-down checker

            Twelve real FAR clauses inside an invented fixed-price services award, paired against an invented subcontract. The clause numbers and titles are public regulation; everything else is fiction.

            Simulated demo

            Ready. Open a clause to read what its own text says about subcontracts.

            Prescribed in Reading in this award Flow-down by its own text In the subcontract Read by (contracts manager)

            The reading column is this fictional award’s own, entered by its contracts manager. FAR 52.101(e) names the categories the matrix lists and states its own limit: since the matrix “does not provide sufficient information to determine the applicability of a provision or clause in the ‘required-when-applicable’ and ‘optional’ categories,” the prescribing FAR text governs. The record of who read what is the point of the tracker.

            The contracts manager decides applicability, and counsel decides what goes in the subcontract. Nothing here is signed.

            Nothing here is signed, filed, paid, submitted or sent.

            Past-performance library

            Every past contract as a sourced record. The write-up cites the fields it came from, and a missing field stays blank.

            Simulated demo

            Ready. Six invented records are on file; open one to read its fields and their sources.

              The proposal manager edits and approves the entry. A blank stays a blank.

              Nothing here is signed, filed, paid, submitted or sent.

              Bring the one pursuit, clause list or past-performance volume that is costing you the most hours.

              In thirty minutes the founder tells you whether it is worth mapping, even when the answer is no.

              Talk through the work

              Two of our advisors hold Top Secret clearances as individuals. The firm holds no facility clearance and does no classified work. Where a client’s own cleared environment is involved, the client’s arrangements govern, not ours.

              A licensed CPA inspects every financial deliverable, including cost and invoice records, before it reaches you, disclosed in the engagement letter; this is advisory work, and no financial-statement audit, review or other attest report is issued.

              Built for firms where
              a wrong answer has a docket number.

              Our agents assemble the file, the chronology and the reconciliation; the attorney owns every judgment, signature and dollar. Try three desks below, on invented ledgers.

              A timber library, ranks of old bound volumes receding down the aisle

              Client expectations have already moved.

              Thomson Reuters’ Future of Professionals 2026 legal report puts it plainly: “71% of in-house legal professionals say they expect their outside firms to change their commercial models as AI usage increases”, while “just 28% of law firms say they’ve made any changes to their pricing structure in response to AI”. Its 2026 AI in Professional Services report adds that “only 18% of professionals say their organizations track return on investment (ROI)”.

              We guide your firm through AI so it scales faster without giving up governance, guardrails or accountability.

              What we build for a firm.

              We hand your practice’s repetitive, rule-bound work to systems with attorney review built in, starting where the diagnosis points.

              • Accounting, trust and operating.
              • Paralegal work, the assembly a file demands.
              • Research and analysis, sourced or refused.
              • Regulatory monitoring, a diff, not a guess.

              Build with clients, not for them.

              We stage the work so your firm picks the risk profile, with an owner on your side and the same guardrails at every stage.

              1. Immediate technology implementation

                We baseline your firm, then take on a few workflows, such as matter opening and the gap between completed work and collected fees.

              2. Expansion, after agreed performance and governance criteria are met

                Create change that sticks. We expand into pricing, capacity and new services only after agreed criteria are met, and judgment and client relationships stay with your firm.

              3. Restructuring the firm for the highest and best use of technology

                We build the operating side that produces while your attorneys practice, under whatever structure your own counsel approves.

              Three tiers, and the first does not require the rest.

              Operational

              AI and automation improving workflows, and measuring the results against day one.

              Commercial

              Those improvements raising margins and capacity, changing pricing, and standing up new services.

              Structural

              A renewed ownership, financing and services arrangement that delivers those improvements at scale.

              We start at the operational tier, and nothing in it asks your firm to change its ownership or take outside capital.

              Accelerate impact and reduce risk.

              We answer four questions in numbers you check against your day-one baseline, and your named seat can stop any workflow.

              More capacity
              Can the firm handle additional work without proportionately increasing operational costs?
              Better economics
              Can it reduce rework, improve collections, or lower the cost of a set of services?
              Stronger client relationships
              Can it improve responsiveness, predictability, and useful reporting?
              New services
              Is there demonstrated demand for a repeatable offering the firm can deliver profitably?
              A stone colonnade receding toward a distant doorway, its arches repeating down the corridor

              Trust accounting, done the way an exam wishes it were.

              We reconcile your trust accounts on the Counsel × Close desk; its first capability runs below, on invented ledgers.

              Three-way reconciliation

              We recompute bank statement, trust ledger and client ledgers every cycle, and itemize every discrepancy with its sources.

              Pre-bill hygiene

              We check your time entries before invoices go out and list the exceptions for your biller to resolve.

              Disbursement preparation

              We assemble your settlement disbursement sheet with every figure sourced, and a human moves every dollar.

              Exam-ready records

              We leave a record of every run, so your trust-exam answer is a folder; the Rule 1.15 duty stays the lawyer’s.

              We run the same desk pattern across the whole Ledger Suite.

              Three-way trust reconciliation Simulated demo

              Bank statement

              EntryMatter

              Trust ledger

              EntryMatter

              Client ledgers

              EntryMatter
              Bank statement
              Trust ledger
              Client ledgers
              Statement vs trust ledger
              Trust vs client ledgers

              The bookkeeper decides the correcting entry. Nothing here posts.

              Every financial deliverable is inspected by a licensed CPA before it reaches you, disclosed in the engagement letter; this is advisory work, and no financial-statement audit, review or other attest report is issued.

              Illustrative. Sample ledgers, invented amounts and fictional matters. Nothing here is signed, filed, paid, submitted or sent.

              Nine law workflow boards, mapped step by step.

              We map nine practice workflows step by step, with how far autonomy may go and the seat that can stop it. One board is free, permanently.

              Open the law boards →

              A clause read against your playbook, and a line you may take or leave.

              We read your clause against your own playbook and suggest a markup, and counsel decides what is proposed. The clauses below are invented.

              Contract desk: one clause, one playbook Simulated demo

              The clause, invented

              Playbook position

              The playbook, invented

              1. Governing law is the customer’s home state, or a state the playbook names as neutral.
              2. Venue, in the conservative position only: no exclusive venue in the vendor’s home state.
              3. Liability cap floor: twelve months of fees in the standard position, twenty-four in the conservative position.
              4. Indemnity and confidentiality breaches sit outside any cap.
              5. Assignment on a change of control needs notice in the standard position; notice and a written assumption of obligations in the conservative position.
              6. Any suggested markup is counsel’s to propose or drop. The desk proposes nothing to the other side.

              Verdict

              Why, with the playbook line it rests on

              Counsel decides whether to propose it. The desk never sends a redline.

              Illustrative. Invented clause, invented playbook. A suggestion is never an acceptance, and nothing here is signed, filed, paid, submitted or sent.

              A rule changed overnight. Here is the sentence that moved.

              We watch the sources your practice answers to and show the exact sentence that changed, with a draft memo for counsel. Both rule texts below are invented.

              Regulatory monitor: what changed, and where it lands Simulated demo

              Before

              After

              Counsel reads, edits and decides whether anything goes to a client.

              Illustrative. Invented rule text, fictional matters. Nothing here is signed, filed, paid, submitted or sent.

              Intake and conflicts

              We turn a lead into a structured record and run conflicts against a fictional client book, so the attorney gets a packet, not a verdict.

              Open the intake scenario in the playground →

              Docket and deadline watcher

              We prepare the deadline set from a new docket entry, every date citing its rule, and ask the attorney when two rules disagree.

              Open the docket watcher →

              A curriculum written for lawyers from the ground up.

              We teach your lawyers four quarters, The Boundary, Data Hygiene, Confidentiality and Privilege, and Verification Discipline, on your own matters. How credit runs is in the note below.

              What defense firms actually worry about, answered one by one.

              • “It trains on our clients.” We do not train on your data or submit it for training, contractually, and we name any third-party tool to you in writing first.
              • “Our data leaves the building.” We run the work on your own subscription and storage, with no server of ours in the loop.
              • “The logs are a second copy of the file.” We log sources as identifiers, never their contents, so your run records hold no client text.
              • “We’re locked in once we start.” We keep everything on your side, so when an engagement ends there is nothing to migrate.

              ABA Formal Opinion 512, mapped to architecture.

              We map each duty in the opinion to something your committee can check, not a policy PDF. Your jurisdiction’s rules govern.

              • Confidentiality. We isolate your credentials, storage and memory, and privileged material never sits on our infrastructure.
              • Competence. We set an autonomy ceiling for each task by risk and teach your people what may be assembled and what must be judged.
              • Supervision. We give one named seat the power to stop any workflow and log every agent action.
              • Candor toward the tribunal. We cite only records someone can open; anything below that is a refusal, and the refusal is enforced by tests.

              The AI Committee Briefing.

              We brief your whole committee in fifty minutes on the fears, the boundary and what to do Monday. It books directly.

              Book the briefing →

              The law curriculum is structured to support CLE where your jurisdiction permits: we are not an accredited CLE provider in any state, and credit runs through your jurisdiction’s own process.

              Makes Eleven gives no legal advice. Which ownership or structure a firm may use is a question for the firm’s own counsel and its jurisdiction.

              Every financial deliverable is inspected by a licensed CPA before it reaches you, disclosed in every engagement letter; this is advisory work, and no financial-statement audit, review or other attest report is issued.

              The three desks on this page are simulations on invented records. Nothing here is signed, filed, paid, submitted or sent.

              Built for firms whose work
              becomes a public record.

              We build the systems that keep your disclosure calendar, contact record and client memory current, for the people who sign and file.

              A gray facade of identical square windows, one of them standing open

              What we build for a policy firm.

              We build each piece on your own AI subscription, reading only the sources you approve, so your people decide from a clean record.

              • The disclosure calendar. We put every registration, quarterly and semiannual report on one calendar, each date computed from the statute line beside it.
              • The activity register. We log each contact as it happens and assemble your quarterly report from it line by line, with blanks shown as blanks.
              • Regulatory monitoring. We show the sentence that moved in a bill or rule and list the clients it touches: see it run on the legal practice page.
              • The client report. We assemble a weekly report for each client, every line traced, and your principal decides whether it goes out.
              A curving timber stair under a warm line of evening light

              The gift-rule question that arrives at five in the evening.

              We put the facts and the governing House or Senate ethics guidance in front of the person who answers.

              Build confidence and trust.

              These mechanisms hold on every build, so we can answer any client asking about its confidential strategy.

              • Per-client isolation. We keep credentials, storage and memory separate for every client, and agents read only the sources you approve.
              • No training on your data, contractually. We do not train on your data or submit it for training, and that is a term in the agreement.
              • A person signs, files and sends. We draft; a person on your team sends each communication to an agency, a congressional office or a client.
              • Every agent action is logged. We log every agent action, and the log stays yours after the engagement ends.

              Every deadline, and the line it comes from.

              We compute a fictional firm’s due dates from the statute as this page opens. Choose any row to see the rule and the arithmetic; every name is invented and nothing is stored.

              Disclosure calendar Simulated demo Computing this year’s dates…

              This year’s lobbying disclosure filings for a fictional firm, one row per filing
              Period
              The calendar is computed in your browser when this page opens.

              The registrant files. Nothing here files.

              Nothing here is signed, filed, paid, submitted or sent.

              Every date and every line comes from a source you can read.

              We read the statute, not a typed list, and reproduce every due date on the Clerk of the House’s lobbying disclosure page. The lines both read are quoted below.

              The three forms
              The LDA reports include lobbying Registrations (LD-1), Quarterly Activity Reports (LD-2) and Contributions Reports (LD-203). LDA.gov, the House and Senate filing site
              Registration, LD-1
              No later than 45 days after a lobbyist first makes a lobbying contact or is employed or retained to make a lobbying contact, whichever is earlier, or on the first business day after such 45th day if the 45th day is not a business day… 2 U.S.C. 1603(a)(1)
              Quarterly activity, LD-2
              No later than 20 days after the end of the quarterly period beginning on the first day of January, April, July, and October of each year… or on the first business day after such 20th day if the 20th day is not a business day… 2 U.S.C. 1604(a)
              Contributions, LD-203
              Not later than 30 days after the end of the semiannual period beginning on the first day of January and July of each year, or on the first business day after such 30th day if the 30th day is not a business day… Each filer also certifies that it has read and is familiar with those provisions of the Standing Rules of the Senate and the Rules of the House of Representatives relating to the provision of gifts and travel. 2 U.S.C. 1604(d)(1)
              The gift rules
              Senate Rule 35 (the Gifts Rule) is a rule of prohibition. Senate Select Committee on Ethics. In order for a House Member, officer, or employee to accept any gift from any source, it must meet one of these exceptions. House Committee on Ethics
              Foreign principals
              FARA requires certain agents of foreign principals who are engaged in political activities or other activities specified under the statute to make periodic public disclosure of their relationship with the foreign principal, as well as activities, receipts and disbursements in support of those activities. U.S. Department of Justice, FARA.
              The states
              We carry each state rule your firm answers to on the same calendar, with its own source line.
              Concentric timber rings rising in a warm, curved ceiling

              Every line in a report began as a conversation.

              We build the record of your relationships, who met whom, for whom and on which issue, and your quarterly report comes from it.

              The quarterly report, assembled from the register.

              We assemble a fictional client’s report from one month of logged contacts; every line points to its entries, and an empty line says so.

              Activity register to quarterly report Simulated demo Loading the register…

              The activity register: one row per contact
              Date Specific issue Foreign entity note
              The register loads in your browser when this page opens.

              The lobbyist reviews and the registrant files.

              Nothing here is signed, filed, paid, submitted or sent.

              Talk through the work.

              Bring the calendar you keep today and your last client report, and we show you what, if anything, is worth building.

              Talk through the work →

              We give no legal advice.

              Built for campaigns that
              run on a deadline.

              We assemble research with every figure sourced, and drafts pre-checked against the disclosure rules we cite, with anything unclear routed to your counsel. Nationwide.

              A white wall with a narrow opening onto a staircase that climbs out of view

              Build with clients, not for them.

              Your consultants set the strategy; we build the tools that carry it, and a person on your staff owns every step that leaves the building.

              • Research from public sources. We assemble briefs from the public record, every figure linked to its page, and flag any figure with no source.
              • Outreach drafts. We draft emails and scripts from your campaign’s own message, for a staffer to edit and send.
              • Contribution records, reconciled for the treasurer. We match your committee’s records against its deposits, every figure recomputed by a second, independent calculation.
              • The disclosure pre-check. We read every draft against the published rules before a person sees it, each finding labeled Suggested, Needs a source or For counsel.
              An empty room with a wooden table, white chairs and daylight through tall windows

              Two seats hold a campaign together.

              We put a sourced record before your treasurer, who answers for money and filings, and your campaign manager, who decides every send.

              Accelerate impact and reduce risk.

              Every draft is checked before a person sees it, so your campaign moves faster and the risk stays with the seat that answers.

              • Per-client isolation. We keep credentials, storage and memory separate for every client, and engage campaign committees apart from our public-agency work.
              • Your data stays yours, contractually. We do not train on your data or submit it for training, and that is a term in the agreement.
              • A person sends. A staffer sends or posts everything that reaches a voter, donor, reporter or platform, and your treasurer authorizes spending and files every report.
              • Every agent action is logged. We log every agent action, and the log stays yours after the engagement ends.

              Every draft, read against the rules before a person sees it.

              We check a fictional committee’s fundraising email and list each finding with the rule behind it; choose a row for the rule’s own words. Every name is invented and nothing is stored.

              Compliance pre-check Simulated demo Loading the draft…
              From
              The fictional authorized committee of a candidate for federal office
              To
              1,200 recipients on the committee’s own list
              Subject
              Before the quarter closes

              Friend, the quarter closes in a few days, and every contribution before then shows the strength of this campaign.

              The opponent said last week that “road repair can wait another year.” The candidate thinks it cannot.

              Image: a photorealistic image of a road crew at work, generated with an AI tool

              Chip in before midnight to keep the office open through the fall.

              The campaign team

              End of message

              Findings from the pre-check of the fictional draft, one row per finding
              Rule
              Nothing checked yet. Each finding lands as a row once you check the draft against the rules.

              The campaign manager decides and a staffer sends. Nothing here is sent.

              Nothing here is signed, filed, paid, posted or sent.

              The rules the pre-check reads.

              We quote each source in its own words rather than paraphrase it, each one linked below.

              Disclaimers, 11 CFR 110.11
              (a)(1) (a) Scope. The following communications must include disclaimers, as specified in this section: (1) All public communications, as defined in 11 CFR 100.26, made by a political committee; electronic mail of more than 500 substantially similar communications when sent by a political committee; and all websites and internet applications of political committees available to the general public. (b)(1) (b) General content requirements. A disclaimer required by paragraph (a) of this section must contain the following information: (1) If the communication, including any solicitation, is paid for and authorized by a candidate, an authorized committee of a candidate, or an agent of either of the foregoing, the disclaimer must clearly state that the communication has been paid for by the authorized political committee; 11 CFR 110.11(a)(1) and (b)(1)
              AI and fraudulent misrepresentation
              This fraud may be accomplished using AI-assisted media, forged signatures, physically altered documents or media, false statements, or any other means. The statute, and the Commission’s implementing regulation, is technology neutral. Federal Election Commission, interpretive rule, 89 FR 78785
              Google election ads
              Google believes that users should have information to make informed decisions when viewing election ads that contain synthetic or digitally altered content, specifically images, video, or audio that inauthentically depict real or realistic-looking people or events. Advertisers must disclose all election ads that contain synthetic or digitally altered content by selecting the checkbox in the “Altered or synthetic content” section in their campaign settings. The disclosure must be clear and conspicuous, and must be placed in a location where it is likely to be noticed by users. Google advertising policies, political content
              Meta election ads
              Advertisers must include a verified “Paid for by” disclaimer on these ads to show the entity or person responsible for running the ad across Meta technologies. Advertisers must also disclose when a social issue, elections, or political ad contains a photorealistic image or video, or realistic sounding audio, that was created or edited using third-party generative AI tools to: Depict a real person as saying or doing something they did not say or do; or Depict a realistic-looking person that does not exist or a realistic-looking event that did not happen, or alter footage of a real event that happened; or Depict a realistic event that allegedly occurred, but that is not a true image, video, or audio recording of the event. Meta, ads about social issues, elections or politics
              The states
              State rules on AI in political ads vary by state; your counsel confirms which apply.
              A mountain lake with pines on its shore and snow peaks behind

              This week’s record, not last month’s.

              We rebuild research briefs and sentiment digests as often as your campaign needs, each one dated and sourced.

              What the public record says this week, and how sure to be.

              We group twelve fictional public posts into themes, each with a confidence word from the rule below and the posts behind it. Every post is invented and nothing is stored.

              Public sentiment digest Simulated demo Loading the posts…

              A reading of public posts. Not a poll, not a sample of voters.

              The confidence rule. High: in 5 or more posts from 3 or more distinct sources. Medium: in 3 or more posts from 2 or more distinct sources. Low: in 2 or more posts. Fewer than that: Too few posts to say.

              Themes read from twelve fictional public posts, one row per theme
              Distinct sources Confidence
              Nothing read yet. Each theme lands as a row once you read the posts.

              The communications director decides what it means. Nothing here is a poll.

              Nothing here is signed, filed, paid, posted or sent.

              Talk through the work.

              Bring the calendar you keep today and the last message that went out, and we show you what, if anything, is worth building.

              Talk through the work →

              A licensed CPA inspects every financial deliverable, including reconciled contribution records, before it reaches you, disclosed in every engagement letter; this is advisory work, and no financial-statement audit, review or other attest report is issued.

              The Ledger Suite

              Six desks. One engine.
              Your subscription, your storage.

              Desks for the work a practice must get right, run on your own AI subscription and Drive, with no server of ours in the loop.

              Colleagues working across desks in a warm-lit office
              Market evidence
              ~650K

              Actively licensed US CPAs — down from about 672,000 in 2024, a bench that is now shrinking while the work is not. Agents do volume; CPAs inspect and judge, as advisory work, with no financial-statement audit, review or other attest report issued.
              Source: NASBA Accountancy Licensee Database, August 2026

              The suite

              One engine, six verticals.

              We run every desk on one engine, so a desk for your practice is a configuration, not a new product.

              Ledger OS

              The flagship, and the engine the other five desks run on. Built for firms whose vertical isn’t listed yet.

              Ground

              The real-estate desk. It holds the deal file, the diligence trail, and the recurring closes.

              Counsel

              For legal practices: matters, deadlines, and the accounting a trust examiner checks.

              Close

              Reconciliation and close discipline, for accounting firms that sell it and firms that need it.

              Stewardship

              Wealth management. The review cadence, the meeting file, and the evidence of care.

              Practice

              Healthcare delivery. It runs the operational spine behind the clinical work, and never the clinical work itself.

              A single small sailboat on a wide expanse of open water, seen from above
              Why that architecture matters

              Nothing of yours sits on our servers.

              We run your desk on your own subscription and storage, so your committee hears there is nothing on our side to lose.

              The flagship example

              Counsel × Close: the trust-accounting desk.

              We recompute your three-way trust reconciliation every cycle, and a person moves every dollar. Licensed CPAs inspect it, as advisory work, with no financial-statement audit, review or other attest report issued. See it in the legal practice →

              What monthly buys

              The maintained retainer, itemized.

              • The weekly run. We deliver your desk’s recurring work every week, every figure sourced or refused.
              • Model and capability currency. We flag any AI change that matters to your desk, with cost and benefit, and nothing switches itself.
              • Maintenance and repair. We fix your desk when a connected system or model changes underneath it.
              • Everything stays yours. We build on your subscription and your Drive, so the desk keeps working if the retainer ends.
              Two ways to buy

              One-time build, or desk + retainer.

              We build your desk once, or build it and keep it maintained weekly, priced to your firm after a conversation.

              Start the conversation →
              Automations · Productized, monthly

              Hand off
              the repeatable work.

              A software teammate runs one repeatable task end to end, measured against your day-one baseline, and a named person approves anything that leaves.

              A bright open-plan office in a timber-framed loft

              What an automation is, and what it runs

              What they run

              We put one bounded agent on the recurring work you must do perfectly, like the close or document intake.

              What ships with every one

              We ship every agent with a Guardian, autonomy tiers set by risk and a log of every action. A licensed CPA inspects every financial deliverable, as advisory work, with no financial-statement audit, review or other attest report issued.

              How they’re measured

              We record your baseline on day one and show you the before-and-after at day 30; if it doesn’t prove out, we stop.

              We build inside the systems you already run, like Salesforce, and size the model to each step so it uses only the AI it needs.

              We bring in specialists when your build needs voice, vision or custom software, and every maintained engagement carries 24/7 support. The boundaries are contractual, in writing on the assurance page.

              Four small rowboats seen from above on open teal water
              The shape of it

              What the fleet looks like from above.

              We give each agent one bounded job, and a Guardian watches every one of them.

              The first ten minutes

              We draw the machine behind your question.

              We map your process step by step and tag what a machine can carry and what needs a person.

              Workflow Mapper Simulated demo Mapping
                

              Illustrative maps built from the Workflow Atlas. Your diagnostic maps your own firm’s workflows. Nothing here is signed, filed, paid, submitted or sent. Open the Workflow Atlas →
              The systems you already run

              We build into the stack you run.

              We connect by API to the ledger, portal and inbox you already run, and your source of truth stays where it is.

              All logos, product names and company names are trademarks of their respective owners, shown solely to identify systems we integrate with. No affiliation, partnership, sponsorship, or endorsement is implied.

              Dashboards · Recurring

              Ask your data
              in plain English.

              Get an answer with its sources shown, or an honest refusal when your data can’t carry one.

              How a dashboard is built

              On top of what you run

              We connect to your ledger, CRM and drive by API, and every answer cites the system it came from.

              Sourced or refused

              We show the records behind every answer, and below the confidence threshold we ask you rather than guess.

              Yours, isolated

              We keep your credentials, storage and memory separate from every other client’s. We do not train on your data and we do not submit it for training, contractually.

              Ask in plain English

              Numbers that answer for themselves.

              We turn the board question that took a week of assembly into one you type, with the records attached.

              A presenter walking a small audience through a performance-analysis slide
              What a dashboard actually is

              A chart, or a screen you work in?

              We ask whether you need a chart that reports or a screen where the work happens, before anything is built.

              Four layers, from the files you already keep to the view a partner reads A stack of four bands. From the bottom: your own storage, holding the records. Above it, the automation that routes, checks and escalates. Above that, the application your team works in. At the top, the read-only view. An arrow on the right shows questions answered in plain English against the same records. Your own storage The records, in the tenancy you already pay for. Nothing moves house. The work behind it Routing, review, escalation, notification, and a log of every step. What your team works in The screen people type into. This is the part they will call the dashboard. The view that just reports For whoever needs the number and never needs to touch the process. Asked in plain English, against the same records, sourced or refused.

              We keep your records in the storage your firm already owns, so on Microsoft 365 or Google Workspace the build starts one floor up.

              We build only the layers your firm needs, often just the one where the work happens.

              Ask it something hard

              Every answer has receipts, or it refuses.

              Four questions a managing partner might put to their own records, every figure cited, and the last one refused.

              Dashboards Simulated demo Answering
                

              Illustrative. Your dashboard answers from your own systems, and names them. Nothing here is signed, filed, paid, submitted or sent. Start a conversation →

              Ask it yourself. Eight questions, two refusals.

              Pick a question: every figure opens to its source lines, and where the records fall short, the desk says so.

              Ask the records Simulated demo
              Ready

              Illustrative. Eight questions, fixed on purpose: nothing you type exists here to leave the browser. Every name, record and figure is invented for this page.

              Illustrative. Nothing here is signed, filed, paid, submitted or sent. Your desk reads your own systems, and names them. Start a conversation →

              The view that just reports, on a phone.

              Three tiles a partner reads before the first meeting, each showing when it was refreshed and how many records stand behind it.

              Morning report Simulated demo
              Refreshed
              Illustrative. Nothing here is signed, filed, paid, submitted or sent.
              Related services

              Where this connects.

              Next step

              Bring the question you can’t answer today.

              We show you what it takes to make your data answerable, or say plainly that it can’t be yet.

              Start a conversation →
              Governance

              Adopt fast.
              Answer for it.

              The board wants AI moving; the regulator and the client want proof of control. We deliver the controls as your own written standard.

              What Governance delivers

              Your written standard

              We write autonomy tiers, a prohibited-actions register, independent review and logging into your firm’s own standard.

              Framework-aligned

              We align your standard to the NIST AI RMF, so when the committee asks what governs this, you hand them a document.

              For the seat that answers

              We name your one accountable seat in writing on day one and print every boundary before work begins.

              We set up approved AI for every team, including managed subscriptions under your own rules, so nobody reaches for shadow AI.

              We find the risks your standard governs, for your exposure and your people, through AI risk and change impact work.

              City towers with their upper floors disappearing into fog
              The altitude

              What control looks like here.

              We give your regulator, client or board one answer: your own written standard, with logs a reviewer can read.

              Related services

              Where this connects.

              Next step

              Bring the question your committee keeps asking.

              In thirty minutes we give you the shape of the answer, held to our published assurance standard.

              Start a conversation →
              Strategy Consulting

              Know what
              to fix first.

              We work with your leadership to find where the margin leaks and write down what to fix first, priced to scope.

              Looking up the glass and metal flank of a tower, two faces meeting at a ridge against an open sky
              Market evidence
              46%

              Of broker-led sale engagements ended without a closing even in the strongest market the survey had recorded; most years the rate runs higher. The deal-killer we see most is messy financials, and we fix that before it costs you.
              Source: IBBA & M&A Source Market Pulse, Q4 2021

              What Strategy Consulting covers

              Diagnosis & redesign

              We map how your work actually flows and redesign it, and you keep the map whether or not you continue.

              Exit readiness

              We take your books from clean records to diligence-ready, so your data room survives the buyer’s request list.

              Board-level advisory

              We bring your board a founder with an MBA in finance and a banking innovation award won at a top-ten US bank.

              A pale tiled facade curving away against an open sky
              How it is scoped

              Priced to the firm, held to a ceiling.

              We price the work to your firm and its scope, and write a ceiling that holds for the term.

              We run this Audit before you buy; if your AI is already running, The Efficiency Audit measures it first.

              We source any capability your diagnosis calls for through the delivery network, even one we have not delivered before.

              Glass office towers seen from street level against a clear sky
              The posture

              Diagnosis before prescription.

              We propose only what your diagnosis supports, even when the honest answer is a checklist and one hire.

              We build the layer your people need on top of the system nobody may change, and removing it restores what you had.

              Related services

              Where this connects.

              Next step

              One process. One accountable seat. One month, measured.

              We write that shape into your engagement on day one, and the first conversation books directly.

              Start a conversation →
              The Efficiency Audit

              Already running AI?
              Find the missing margin.

              The tools got adopted and no line on the P&L moved. We find the gap between what you spend on AI and what it returns.

              What the Efficiency Audit measures

              What gets measured

              We measure every AI tool in your building against its workflow: what it costs, who uses it, and what moved on the P&L.

              Why tools stall

              We redesign the process your tools were bolted onto, because a faster engine on the old road moves nothing. Why now

              What you keep

              We give every tool a verdict (fix the process around it, renegotiate it or drop it), credited toward any engagement that follows.

              We start with the Audit instead, under Strategy Consulting, if your firm has not bought the tools yet.

              We answer your committee’s exposure and people questions from the same work: AI risk and change impact.

              What you keep

              Findings ranked by what they’re worth.

              We attach the value of each fix, so your Monday priority list writes itself.

              A workshop leader smiling beside a whiteboard of diagrams
              Related services

              Where this connects.

              Next step

              Name the tool you’re least sure about.

              In thirty minutes we tell you what to keep, even when the answer is to change nothing.

              Start a conversation →
              AI Risk & Change Impact

              Know the risk
              before you build.

              What could this cost if it goes wrong, and what changes for the people who work with it? We answer both before anything is built.

              The two assessments

              AI risk management

              We map where AI touches your work, set autonomy by risk, and give your committee a document it can read.

              AI change impact

              We manage the change for the people who work differently on Monday, the discipline budgets cut first.

              What you get

              We rank findings high, medium and low with what each fix is worth and costs, and you choose which we do.

              These are not new engagements: we deliver both through the Audit and The Efficiency Audit, under your Governance standard.

              Security work sits beside them: under our cybersecurity advisory, we bring your security to the standard insurers ask for.

              Why this order

              The technology is the easy half.

              We settle what an AI draft may be used for, who checks it and how your people’s week changes.

              A ridge of trees emerging from low fog
              Related services

              Where this connects.

              Next step

              Bring the question your committee keeps asking.

              In thirty minutes we size your exposure, even when it is smaller than you think.

              Start a conversation →
              Skills Enablement

              Know which AI skills
              to trust.

              When Snyk scanned published AI skills, more than a third carried a security flaw. We tell you which ones to install, and which not to.

              How skills are screened and deployed

              Screened, not collected

              We read every skill’s license, permissions and data flow before it reaches you, the checks a virus scan misses.

              On the platform you own

              We sort the list by the platform you run and name the admin switch that holds back anything unapproved.

              A person signs and pays

              We set any integration that can sign or move money to read-only, so a person signs, files and pays.

              We also train your IT team to administer the platform: permissions, usage and cost.

              Glass facade reflecting the building opposite
              Why it recurs

              A list goes stale. A standard doesn’t.

              We keep your skills held at a version somebody read; nothing updates it without a review, and we re-read the set monthly.

              Related services

              Where this connects.

              Next step

              Tell us what your team is already running.

              In thirty minutes we tell you what to keep, what to switch off and what to lock down.

              Start a conversation →
              Data hygiene

              Fix the data
              before the agents.

              Every layer of an agent system inherits the one beneath it, so we measure your data before any agent is proposed.

              See it happen

              One dirty field. Watch it climb.

              Agents · act Acts within its gates, correctly.
              Context · assemble Assembles the right file, every time.
              Data · the base Reconciled, deduplicated, dated, owned.

              Everything above inherits the base. That is the whole argument for starting there.

              A mountain lake with pines on its shore and snow peaks behind
              Before any of it runs

              The part nobody wants to start with.

              We map where your records live, who owns each field and what a system may read, before anything runs.

              The deliverable

              The Data Foundation Assessment.

              A stage of the Audit, run before any agent is proposed: data hygiene measured, not assumed.

              What it checks

              We check your data for duplicates, unreconciled balances, unowned records and fields that disagree between systems.

              What you keep

              We rank your findings by what each fix opens up, because a clean client file steadies every layer above it.

              Why it comes first

              We propose agents only on a base we have cleared, because fixing the base costs less than fixing what it corrupts.

              Related services

              Where this connects.

              Next step

              Ask us what your base layer would score.

              Bring one report you don’t fully trust, and we trace the doubt to its layer.

              Start a conversation →
              Try a workflow

              Watch the work move.
              Then see what moved it.

              A worked example you can drive yourself. One item arrives, four steps run on their own, and a named person takes the decision a person has to take. Every name, record and figure below is invented for this page: nothing here is your data, nothing is stored, and nothing is signed, filed, paid or sent.

              A stone arcade of identical bays running toward a lit doorway
              Workflow demo Simulated demo Ready

              The attorneyNamed accountable seat
              What stage one watches

              What stage five may do

              Illustrative workflow. No company data required. Every record here is sample text.

              The run

              Nothing is signed, filed, paid or sent from this demo. Nothing you do here is recorded.

              What just happened

              The same five stages carried it.

              Every agent this firm builds runs one engine: Signal, Enrich, Score, Compose, Act. The panel below reads the run you just watched back against those five stages, and it moves as the run moves.

              A figure walking away down a colonnade of square stone piers
              Where a person sits

              Four stages run on their own. The fifth is a person, by design.

              Autonomy is assigned per task by risk, so it is never one switch for a whole workflow. The stage that can change something carries the tightest tier, and the seat that owns it is named in writing on day one.

              Autonomy tiers, per task

              Each task carries an explicit tier, from fully checked to fully autonomous, assigned by risk. In the run above, pulling records is not the same risk as acting on them, so the two do not carry the same tier. A Guardian agent watches the others and every action is logged, whatever the tier.

              Read the standard →

              A named seat, from day one

              One accountable seat is named in writing before any work begins. In the demo it is the attorney or the controller. In your firm it is a person with a name, and the stage-five decision is theirs. It is part of the workflow rather than a setting somebody can switch off later.

              See how it is written →

              Below the threshold, a question

              Choose an uncertain item in the demo and the run stops short of acting. Below the confidence threshold the answer is a question to a human, never a guess, and the question arrives with the records that made it uncertain already attached.

              The five stages in full →

              Next step

              Now do it with your own process.

              The Workflow Builder turns the process that hurts into a map in about ten minutes. No account, and nothing is stored until you choose to send it. It becomes the pre-call assessment, so the free conversation starts from your work rather than from a blank page.

              Open the Workflow Builder →
              Assurance

              Careful by promise,
              and by architecture.

              Autonomous can’t mean unaccountable. Every task gets its autonomy set by risk, a person who can stop it, a Guardian, a register and a log.

              A white ribbed facade curving against an overcast sky, its structure fully visible
              Ethical AI · Human-centered AI · Augmented intelligence

              Three phrases, defined as things you can check.

              All three are usually offered as adjectives, which is why they have stopped meaning much. We use them because here each one resolves to a mechanism. Ethical AI is a written register of thirty-seven classes of action our agents may never take, which grows and never shrinks; contractual no-training on your data; a licensed CPA inspecting every financial deliverable before it reaches you, as advisory work, with no financial-statement audit, review or other attest report issued; and a rule that whoever checks the work is never whoever built it. Human-centered AI is autonomy granted one task at a time by risk, a named person accountable for anything that reaches a regulator, a court or a counterparty, and a diagnosis that is allowed to end in leave this alone. The industry’s term for that shape is human in the loop, or HITL, and it is a fair description of what we build: a person sits inside the run, not after it.

              Augmented intelligence is the third, and it is the one we would put first. Artificial intelligence is the technology: a model that drafts, extracts, classifies and computes. We use it, and saying otherwise would be dishonest. Augmented intelligence is a statement about where the judgment sits. The machine carries the retrieval, the assembly and the arithmetic; the decision that someone answers for stays with a person, by design rather than by habit. The difference between the two is not which software is running. It is whether anyone could tell you, afterward, who decided.

              On overuse

              Half the value of a diagnosis is the list of things to leave alone. The proposal contains only what the diagnosis supports, including when the honest answer is that you need a checklist and one hire rather than agents. We have written that proposal, and we will write it again.

              On your people

              What a redesign takes off a week is retrieval and re-keying. Judgment stays, and so do the people holding it. Capacity is the point, not subtraction. The employment evidence we rely on, and its sources, are on the perspectives page.

              On slop

              Nothing here is allowed to guess. Every answer names its sources or says plainly that it does not know, and where the work is arithmetic a second independent computation checks the first. We publish nothing we cannot reproduce.

              Ownership

              Everything runs on your side.

              Everything we build for you runs on your own AI subscription, in your own Drive, and, where structured memory earns its keep, in your own database instance, under your keys. No server of ours holds your client data. That is the confidentiality answer, the lock-in answer, and the exit answer at once: when an engagement ends there is nothing to migrate and nothing to ransom. (This website’s own membership accounts are the one thing we do hold. The privacy policy lists exactly what and where.)

              Your data, isolated

              Per-client credentials, storage, and memory. Agents read only sources you approve. We do not train on your data and we do not submit it for training, contractually. Every agent action is logged.

              Compliance built in

              A HIPAA Business Associate Agreement per engagement, where patient data is in scope, signed before any of it moves. Confidentiality-first architecture for legal clients. Records-retention and FOIA awareness for public-sector work.

              Licensed humans check the work

              No financial deliverable leaves until a licensed CPA has inspected it; this is advisory work, and no financial-statement audit, review or other attest report is issued. The agents assemble the work and show their sources line by line. Where the work is arithmetic, a second independent computation checks the first, and a disagreement is a question for the CPA rather than something the system settles on its own. The CPA who inspects is never the builder. Tax positions and valuation opinions stay with the licensed professional, never the agent; an attest report is for an independent licensed firm engaged for that purpose, never an agent and never us. Your engagement letter states the arrangement in writing.

              Sourced answers or a refusal

              Our dashboards and research agents cite what they know and say so when they don't. No guesses dressed as answers, in your business or in ours.

              Security architecture

              Security architecture.

              What we offer a security team is an architecture with far less to certify.

              • No system of ours holds your client data. What we build for you runs on your own AI subscription, in your own Drive, under your keys, so the usual question, how well does the vendor secure our data, mostly does not arise. What we do hold is this website: your membership account, and anything you send us through a form or the Help Desk. The privacy policy lists exactly what and where.
              • Per-client isolation. Credentials, storage and memory are separate for every client. Agents read only the sources you approve.
              • No training on your data, contractually. We do not train on your data and we do not submit it for training. That is a term in the agreement, not a checkbox in a settings panel. Any third-party tool in the build is named to you in writing, with its own terms, before it is used.
              • Every agent action is logged. The log is part of what you keep, and it survives the end of the engagement along with everything else.
              • A data processing agreement, whenever your counsel wants one. Say so and we will put one in front of you. If they would rather work from your paper, send it and we will review it.
              • Bespoke access, scoped case by case. Where an engagement requires us to hold access as part of a bespoke build, the security arrangement is scoped case by case under our cybersecurity advisory before the build starts, and written into that engagement’s letter.

              You can check part of this from where you are sitting. Open your browser’s network panel on any page of this site: no analytics, no advertising pixels, no third-party trackers, no session recording. What is there belongs to Cloudflare, our host, and the privacy policy names all of it, alongside every other processor we use and why.

              For your reviewer

              Every answer your committee asks for, in one place.

              Four questions decide most vendor reviews. Here are ours, each traced to where it is stated in full, and each dated. Print this page and the whole set comes with you.

              What we hold, and who else touches it

              The short answer is that the work runs on your side and this website is the only thing we hold.

                What to confirm with us

                Everything on the left is published. These are not, because no firm answer exists yet — ask and you get a straight one.

                  If you think something has gone wrong with data, write to [email protected]. A person reads it. We publish no response target and no breach-notification window, because we have committed to neither; what we commit to for your engagement is in your engagement letter.

                  On film

                  Your firm’s immune system, in 55 seconds.

                  How an agent system stays safe, told the way biology tells it: a watcher, a set of specialists, and a memory that only grows.

                  00:00 / 00:55
                  Read the film as text

                  An agent system stays safe the way a body does. Something separate watches everything the rest of it does. The failure mode is the plausible guess: confident, fluent, unsourced. Every AI system eventually produces one; ours is built to expect it. First responder: the Guardian, a separate agent shipped on every engagement that watches every action the other agents take and flags anything out of pattern before it leaves the building. Then the specialists arrive: the Examiner, who is never the builder and checks every system against test sets with known answers; the Second Sum, an independent computation that re-derives every recomputable number; and the Licensed Inspector, the CPAs who inspect every financial deliverable before it leaves, disclosed in every engagement letter, as advisory work, with no financial-statement audit, review or other attest report issued. The refusal register only grows: thirty-seven classes of refused action today, and the list ratchets up and never shrinks. And it never forgets: logs, register, baseline, boundaries. When the same failure tries again, it is refused automatically, and the refusal is logged. Everything you just saw is written down. The full standard is on this page, below.

                  The written standard

                  Every agent ships against a reliability standard you can read.

                  An engineering document that governs every build.

                  • Autonomy tiers, per task. Each task carries an explicit tier, from fully checked to fully autonomous, assigned by risk.
                  • A prohibited-actions register. Thirty-seven classes of action our agents are built to refuse, from signing filings to touching payments. It grows; it never shrinks.
                  • The examiner is never the builder. Every system is checked by someone who didn't build it, against test sets with known answers.
                  • Drift is measured, not assumed. Each examination records which model actually served, so when the model underneath changes, the next examination shows whether the agent's behavior moved.
                  • Measured against day one. Your baseline is recorded at the start. At day 30 you receive a one-page before-and-after against it, with every number sourced or absent and estimates labeled, and the delta monthly after that.
                  • Recomputable output. Where the work is arithmetic, a second, independent computation checks the first.
                  Governance

                  Boundaries you get in writing.

                  1. Filings always carry a human signature. Tax returns, government filings and legal documents are assembled by agents and signed by licensed people.
                  2. Money moves only on a human’s button. Payment initiation, transfers and payroll runs keep a person on approval, every time.
                  3. Judgment stays with licensed professionals. Tax positions and valuation opinions are theirs, never an agent’s; an attest report, meaning an audit or a review of financial statements, is for an independent licensed firm engaged for that purpose, never an agent and never us.
                  4. External release is a human decision. Nothing unreviewed leaves for a regulator, court or counterparty.
                  5. Below the confidence threshold, the answer is a question. A sourced answer or an honest ask — never a plausible-sounding guess.
                  6. Every number we publish carries its record type, and we say what has not yet been published. No claims we can’t reproduce, in your business or in ours.
                  7. If the baseline has not moved by day 30, we say so and you can stop. The day-30 report states the delta plainly, and you may end the engagement at the end of that month. The term goes into your engagement letter before any work begins.
                  Next step

                  Put this architecture in front of your reviewer.

                  Bring your security team or outside counsel to the first call. Everything on this page is theirs to test, and if you go on to a diagnostic, it is a deliverable you keep either way.

                  Start a conversation →
                  Guides

                  What we would hand you
                  before you hire anyone.

                  Three documents, free. Read any of them right here, with no address at all. Leave an address and we will send you a copy; no sales sequence follows, and a person answers if you reply. Everything in them is what we actually run, which is why they are specific enough to be useful against a firm that is not us.

                  The guides

                  For the managing partner

                  The managing partner’s guide to AI in a law firm

                  Seventeen pages for the person whose name is on the answer when the committee, the client or the carrier asks how AI is controlled here. ABA Formal Opinion 512 duty by duty, paired with the artifact each duty actually demands; the three failure modes that produce discipline and what prevents each; and a checklist your committee can run against any vendor, this one included.

                  Read it now →

                  For the committee

                  The prohibited-actions register

                  All thirty-seven classes of action our agents are built to refuse, with the basis for each and the scope it binds. It is built from the file our own tests check the published count against. The hash of that file is written into the PDF and recorded beside it, and our tests fail if the PDF, the record and the register ever disagree.

                  Read it now →

                  For the first conversation

                  The A.G.E.N.T. method, a short read

                  Audit, Gauge, Engineer, Navigate, Track: the five stages, the artifact each one leaves with the client, the four questions that come before any of it, and the roughly eight-week shape a first engagement takes.

                  Read it now →

                  A long corridor of warm timber fins receding toward a lit doorway
                  What a guide is

                  Written down before you need it.

                  Each one is the part of a diagnosis that does not depend on your firm: what to ask, what to check, and where the honest answer is to leave a process alone. They are addressed to the person who has to defend the decision inside the firm.

                  In progress

                  The State of AI in Regulated Work

                  Our annual report, published by Makes Eleven Consulting, assembled from the monthly ecosystem reviews we already run. It has not been published yet and there is no earlier edition to read. The release is announced in the Letter, so this is the Letter: subscribe once and the report reaches you the same way everything else does.

                  Nothing here is legal, tax or accounting advice, and no document on this page argues that you should hire us. If they are useful and you never call, that is a fine outcome. The Workflow Mapper and one board in every vertical of the Workflow Atlas are open the same way.

                  Perspectives

                  The myths, examined.
                  The evidence, cited.

                  The concerns we hear most from operators and public officials, answered with primary sources. AI is already trusted where the stakes are highest: medicine, law, government, finance.

                  “AI will replace my people.”
                  What the evidence says

                  The Yale Budget Lab has tracked the US labor market monthly since ChatGPT's release and finds no discernible disruption to overall employment. RAND reaches the same conclusion, with more businesses reporting jobs added from AI than cut. The pattern is augmentation: AI absorbs volume; people keep judgment, relationships, and accountability.
                  Sources: The Budget Lab at Yale, updated monthly · RAND, 2025

                  How we handle it

                  Our engagements are designed around your team, not instead of it. People are the other half of eleven.

                  “AI makes things up too much to trust with real work.”
                  What the evidence says

                  Unsupervised AI does invent, which is why serious deployments never run unsupervised. The FDA has authorized over 1,400 AI-enabled medical devices under formal validation. Court systems that permit AI-assisted work now require human verification of its output. The fix is structure, not hope.
                  Sources: FDA AI-enabled device list, updated periodically · California Rule of Court 10.430, 2025 · South Carolina judiciary interim AI policy, 2025

                  How we handle it

                  The same structure: agents do volume, licensed professionals inspect financial deliverables, every answer is sourced or refused, and an agent sends nothing without an explicit instruction to send that particular thing — never anything signed, filed, paid, or bound for a regulator, court or counterparty unreviewed.

                  “Our data will end up training some model, or leaking.”
                  What the evidence says

                  That risk is real with consumer tools and absent with properly configured enterprise deployments: contractual no-training terms, tenant isolation, encryption, and audit logs are standard. California's court system draws exactly this line: confidential data prohibited in public AI systems, permitted in managed internal ones.
                  Source: California Rule of Court 10.430, effective September 2025

                  How we handle it

                  Per-client isolation, allowlisted sources only, a written security posture you can hand to your counsel, and this on training: we do not train on your data and we do not submit it for training. Where a third-party tool is part of what we build, we name it and its terms in writing before it is used, so you are reading that vendor’s promise rather than ours.

                  “AI is too legally risky for government.”
                  What the evidence says

                  Government frameworks don't prohibit AI; they govern it. NIST's AI Risk Management Framework, federal agency guidance, South Carolina's state AI strategy, and the SC judiciary's generative-AI policy all chart responsible adoption. Cities are already deploying: permitting prescreens, multilingual constituent services, records automation.
                  Sources: NIST AI Risk Management Framework · SC judiciary interim AI policy, 2025

                  How we handle it

                  Framework-aligned deployments with human approval, audit trails, records-retention awareness, and bias testing as standard, pilot-sized to fit procurement realities.

                  “It’s a fad.”
                  What the evidence says

                  FDA authorizations of AI medical devices grew from a handful a year to more than three hundred in 2025 alone. Nearly a third of practicing lawyers now use generative AI. Regulated professions are the slowest adopters by design, and they have adopted.
                  Sources: FDA AI-enabled device list · ABA Legal Technology Survey Report, 2024

                  How we handle it

                  We don't sell momentum; we sell diagnosed fit. If AI isn't the answer to your problem, that's the report you'll get.

                  “We’re too small, or not technical enough, for this.”
                  What we have seen

                  This one is a judgment from our own work rather than a finding, so it cites no study: fit to the work has mattered more than in-house technical depth. The published engagement shape runs roughly eight weeks.

                  How we handle it

                  You don't need in-house engineers. The diagnosis tells us what fits your size and budget; a written ceiling means no surprises; and our enablement work leaves your team able to run what we build.

                  “AI in public systems invites bias and civil-rights problems.”
                  What the evidence says

                  The risk is documented: in 2025 the Massachusetts Attorney General reached a $2.5 million settlement with student-loan lender Earnest over underwriting models alleged to disadvantage Black, Hispanic, and non-citizen applicants. The same case defines the fix. Test for disparate impact, keep humans on decisions, document everything.
                  Source: Massachusetts Attorney General, July 2025

                  How we handle it

                  Disparate-impact testing, human approval on consequential decisions, and full audit trails are standard in our public-sector and lending-adjacent work, not add-ons.

                  “AI consultants are just reselling tool tutorials.”
                  What the evidence says

                  Many are, which is why most enterprise AI pilots show no measurable P&L impact. Deployments fail when nobody maps the workflow first.
                  Source: MIT Project NANDA, The GenAI Divide: State of AI in Business 2025

                  How we handle it

                  We’re a boutique advisory firm that uses AI, not an AI vendor with a pitch. The diagnostic is a real deliverable you keep either way, the proposal contains only what the diagnosis supports, and every claim we make in public carries its evidence or says what is still missing.

                  Why not just use ChatGPT ourselves?
                  Often you should, and we will say so

                  Often you should, and a diagnosis that ends in buying the subscriptions, writing a one-page acceptable-use policy and training the team is a real outcome here rather than a failure. What a subscription cannot do is map the workflow, decide which steps a machine should carry and which a person must keep, or name who is accountable when the output is wrong.

                  For drafting, summarizing and thinking out loud, a good assistant and an hour of training is often the whole answer, and no engagement is needed to get it. Sometimes the honest recommendation is a checklist and one hire rather than agents at all.

                  What a subscription cannot do

                  It cannot map the workflow, decide which steps a machine should carry and which a person must keep, or name who is accountable when the output is wrong. It cannot inspect a financial deliverable with a licensed CPA (advisory work, with no financial-statement audit, review or other attest report issued), keep a register of actions no agent may take, or measure the result against a day-one baseline. The tool is the cheap part; the work is deciding what to point it at and who answers for the answer.

                  What happens when the AI model changes?
                  It will, and that is assumed

                  Models change constantly, which is why this firm watches the field every month rather than picking one and hoping. What we build is engineered to your workflow rather than to a particular model, and repairing a desk when a connected system or model changes beneath it is what a maintained engagement is for.

                  The map, the decision points, the accountable seat and the register outlive any provider’s release notes.

                  What we do about it

                  The Guardian re-checks the running process rather than trusting that it still behaves, the same recomputation and inspection steps run whatever is underneath, and repairing a desk when a connected system or model changes beneath it is what a maintained engagement is for. If a change makes something we built worse, you hear it from us first.

                  Written by Leon Fields II. Reviewed 27 September 2026. Every position that makes a factual claim cites a primary source; where the evidence changes, this page changes with it.

                  An oval skylight opening onto cloud, seen from inside a curved concrete shell
                  Why these are written down

                  A claim we cannot show you is a claim we drop.

                  Every piece here is argued from something you can go and check. Where the evidence runs out the piece says so, rather than filling the gap with a plausible sentence. That is the rule the agents work under too.

                  Next step

                  Test the thinking against your own workflow.

                  The positions on this page were formed in operating work, not in theory. Map one workflow in ten minutes, free and unstored, and see what the same lens says about your firm.

                  Open the Workflow Mapper →
                  Our team

                  An operator who kept finding
                  the same gaps.

                  Meet the team where one and one makes eleven.

                  Our world-class people

                  We are founder-led, with two strategic advisors closest to the core and a network of licensed CPAs who inspect every financial deliverable before it reaches you, disclosed in every engagement letter, as advisory work, with no financial-statement audit, review or other attest report issued. Open a card for the full account.

                  Leon Fields II Founder & Managing Partner

                  An economist by training and an operator by habit, who kept finding the same gaps in every process he touched.

                  Wylie “Sid” Darden Strategic Advisor, Cybersecurity

                  A former U.S. Air Force cyber operations officer who holds the CISSP.

                  Joshua House Strategic Advisor, Automations

                  How a manual process becomes a governed system. Six years at EY leading technology delivery in its government and public sector practice.

                  Leon Fields II, founder & managing partner

                  An economist by training, an operator by habit. Leon studied economics and community development at Howard University, earned his MBA at William & Mary with a dual specialization in finance and in entrepreneurship & innovation, and completed Harvard Data Science Agentic AI. But this work was in him before there was a firm to do it in. As a banker he fixed the processes around him, and was recognized for it: a banking innovation award for process improvement at a top-ten US bank, Capital One, given as he underwrote over $300 million in low-income housing tax credits for affordable housing across the country.

                  Then he moved to the development side of affordable housing as a project manager, leading the consultants a deal depends on. The same thing kept happening. Construction, architecture and design, legal, property management, portfolio management, compliance, the municipal offices a development touches: every partner ran on a process with a gap in it, and the gaps looked alike from one discipline to the next. A hand-off nobody owned. A document somebody had to go and find. A number re-keyed on its way to a report. He was noticing them long before there was a name for the work.

                  The clearest proof came in two disputes of his own. He represented himself in both, one a federal matter opposite counsel from a major national law firm, the other a local civil case, and used AI to carry the research, drafting and document work a firm would have staffed. Both ended with money recovered: five figures in one, six figures in the other. What that proved was leverage, the ability of one person to take on an organization he had no way to out-resource.

                  He moved that leverage into business, built a team around it, and has served small and mid-sized firms increasingly through 2026. The gaps he kept noticing are the ones this firm is built to close.

                  The firm’s method was proven on his own matters before it was ever sold to anyone.

                  Leon Fields II, founder & managing partner of Makes Eleven Consulting Credentials
                  • Howard University · economics & community development
                  • William & Mary MBA · finance, entrepreneurship & innovation
                  • Harvard Data Science Agentic AI, completed
                  • Banking innovation award · top-ten US bank
                  • National leadership roles · AAREP, ULI & HAND
                  • Affordable-housing finance, development & LIHTC compliance

                  Check for yourself: Makes Eleven on LinkedIn · [email protected]

                  Wylie “Sid” Darden, cybersecurity

                  Sid advises the firm on security: how enterprise networks are defended, how a system is assessed before it is trusted, how vulnerabilities are tracked and closed, and what happens in the hours after something goes wrong. His working ground is the NIST Risk Management Framework, the federal standard (SP 800-37 and SP 800-53) by which government systems are assessed and authorized to operate at all. It is a different document from the NIST AI Risk Management Framework this firm aligns to, and the distinction matters to anyone who knows both.

                  He is a former U.S. Air Force cyber operations officer and holds a Top Secret clearance. For a reader outside that world: a clearance at that level means the federal government investigated his background in depth and judged him trustworthy with information whose disclosure would cause grave damage to national security. It is not a course anyone takes; it is a judgment made about a person, and it is periodically re-made.

                  He holds a master’s in homeland security and emergency management from Purdue and a philosophy degree from Howard, and holds the CISSP. That certification is the senior general credential in information security: it cannot be earned by examination alone, requiring years of verified paid practice across the field, and it is the qualification federal and enterprise security roles name by default when they name one.

                  What that ground looks like in practice, in his own account of it: he led a team of thirty system administrators and security staff, held 99% network uptime across two enterprise hybrid cloud environments, and ran them to NIST SP 800-53 compliance with continuous security monitoring. He wrote the standard operating procedure his service now uses for ingesting, analyzing and storing sensitive data, built the incident response and operations center procedures that sit under it, and cut incident response times by a fifth. He has also coordinated secure data exchange across four separate military branch networks, which is a governance problem as much as a technical one. Before any of it he founded and ran a defense training company for five years, so he has read a P&L as well as a risk register. More recently he has worked in cybersecurity education at one of the largest banks in the world, teaching a workforce of hundreds of thousands to recognize the attacks that actually reach people.

                  His advice is a gate, not a garnish. Security questions get answered before a build starts, not after a client’s IT reviewer asks them.

                  Wylie “Sid” Darden, strategic advisor on cybersecurity to Makes Eleven Consulting Credentials
                  • Former U.S. Air Force cyber operations officer
                  • Top Secret clearance
                  • Purdue · MS, homeland security & emergency management
                  • Howard University · philosophy
                  • CompTIA Security+ · CISSP
                  • NIST RMF (SP 800-37/800-53) · vulnerability management · incident response
                  • Led a 30-person security and systems team
                  • Founder, defense training company, 2019 to 2025

                  Joshua House, automations

                  Josh advises the firm on automation: how a manual process becomes a governed system, and how that system survives contact with the people who have to use it. He has spent six years at EY, one of the Big Four, which are the four largest professional services firms in the world and the standard against which this kind of delivery is measured, leading technology solution delivery in its government and public sector practice.

                  The record is his own and he publishes it: thirteen federal pursuits worth more than $148M, four of them won; a $1.5M workstream at a federal agency where he migrated more than 4,400 records across 50-plus fields into a platform he built, taking the delivery share from 25% to 70%; 436 workflows delivered at 97% on time or early, with more than 90% of them automated. Those are his engagements at his firm, not this firm’s. What they establish is the altitude he has worked at.

                  By his own account, the part of his work closest to why he is here: he is the AI and emerging-technologies lead inside his practice pod, and he designed and delivered a twenty-four-session AI governance and modernization curriculum to more than thirty-five stakeholders across a 180-person portfolio. Teaching an institution how to govern AI, rather than only how to run it, is the harder half and the half this firm sells.

                  He holds a Top Secret clearance, is a Certified ScrumMaster, and carries Microsoft’s PL-900 certification. He is also an author and a bilingual editor in English and Spanish, and has built intake, scoring and award systems for a nonprofit scholarship program, which is the same discipline pointed at a different kind of institution.

                  He makes the case that most failed automations were never a technology problem. They were a change problem nobody was paid to manage.

                  Joshua House, strategic advisor on automations to Makes Eleven Consulting Credentials
                  • Six years at EY · government & public sector technology delivery
                  • AI & emerging technologies lead in his practice pod
                  • Top Secret clearance
                  • Certified ScrumMaster · Microsoft PL-900
                  • Xavier University
                  • Process automation · data governance · program delivery
                  • Bilingual, English & Spanish
                  Three lanes

                  Some problems are operational. Some are technical. Some move only when the right people are in the room.

                  Operations

                  We map your workflows and redesign the process, the diagnosis everything else depends on.

                  Automation

                  We build your agents, dashboards and systems to a written standard, measured against day one.

                  Relationships

                  We make the introductions and work the policy rooms and procurement processes that move your initiative.

                  We review what the AI ecosystem makes possible every month, so your advice never ages quietly.

                  In the room

                  Leon has spent the better part of a decade building relationships in Washington.

                  At a conference, in front of a sponsor backdrop
                  Range, not a fence

                  The verticals are evidence, not a boundary.

                  We carry named playbooks where the work happened first, and answer any other AI ask through the delivery network.

                  The firm behind the founder

                  We’re just some humans who think computers should do more work.

                  We are a boutique advisory shop by design: a small accountable core close to your work, and a bench assembled per engagement, not carried as overhead.

                  The delivery network

                  We keep Sid Darden and Josh House closest to the core and assemble specialists per engagement. A network of licensed CPAs inspects every financial deliverable before it reaches you, as advisory work, with no financial-statement audit, review or other attest report issued.

                  No AI ask out of scope

                  We deliver voice AI, computer vision, sales automation, custom software and managed AI subscriptions, with our network carrying what our tools do not.

                  Support that keeps running

                  We back every maintained engagement and membership with 24/7 support through the Help Desk.

                  AI has leveled the playing field in a generational way. We exist so small and middle-market firms can strategize, compete and scale in ways they never could — capturing market share and influence like never before.

                  How the work is governed

                  Autonomous can’t mean unaccountable.

                  We run every agent inside a written standard: autonomy set per task by risk, every action logged, a Guardian on every engagement, and a named person accountable for anything that reaches a regulator, court or counterparty.

                  We write that standard into the contract. A network of licensed CPAs inspects every financial deliverable before it reaches you, disclosed in every engagement letter, as advisory work with no financial-statement audit, review or other attest report issued.

                  Written into every engagement
                  • A person signs, files, and pays.
                  • Tax positions, valuation opinions, and attest reports stay with the licensed professional who answers for them.
                  • Every recommendation rests on the diagnosis.
                  • Every claim we make can be reproduced.
                  • Every proposal names its price, and the ceiling holds.

                  The full standard, and the register of thirty-seven classes that only grows, is on the assurance page.

                  Next step

                  Meet the operator behind the pages.

                  In thirty minutes we talk through the task that eats your hours and give you an honest answer, even when it is a checklist and one hire.

                  Book a conversation →
                  Solutions · by industry

                  Built for the way your
                  industry actually works.

                  The same engine, tuned to the documents, deadlines and regulators of your world. Find your industry below.

                  A butcher in a blue apron smiling at his phone behind the counter

                  We name on each card the seat we usually sit in, and the diagnosis works the same way if yours is not here.

                  The industries we work in

                  Stacked apartment balconies on a residential tower

                  Real Estate & Affordable Housing

                  Run the operational spine of a portfolio on time, every month.

                  Usually our seatThe person answerable when the monthly close on a portfolio is late, and the team working the queue underneath them.

                  • Rent rolls and ledgers reconciled monthly, variances named
                  • Delinquency queues worked with escalation built in
                  • Development draw packages assembled from source documents
                  • Computer-vision reads of inspection and unit-turn photo sets
                  See the results →
                  A person writing notes at an office desk

                  LIHTC Compliance

                  Keep the credit by keeping the file — before the auditor asks.

                  Usually our seatThe compliance officer whose name is on the tenant file when the agency asks to see it.

                  • Income certifications assembled and second-checked
                  • Recertification calendars worked to the anniversary, not to the reminder
                  • Tenant-file completeness sweeps ahead of agency audits
                  • Year-15 files built as the years happen
                  See the results →
                  A meeting board covered in planning notes

                  General Compliance, Any Industry

                  Track every obligation from the source document to the evidence.

                  Usually our seatWhoever holds the obligation register and has to prove, later, that it was kept.

                  • Obligation registers extracted from regulations and contracts
                  • Evidence collected continuously, all year
                  • License and filing renewals on a calendar with margins
                  • Policy-to-practice gap reviews with findings ranked
                  See the results →
                  A dental treatment room with the chair ready

                  Healthcare & Adjacent Practices

                  Recover the front-office hours that eligibility and claims consume.

                  Usually our seatThe practice administrator running the front office patients actually experience.

                  • Eligibility verified before every visit
                  • Claims assembled, scrubbed and chased to payment
                  • Denials worked by root cause
                  • Voice AI on the front-desk phones for reminders, scheduling and overflow
                  See the results →

                  Legal

                  Protect the hours you bill and the deadlines you cannot miss.

                  Usually our seatThe managing partner, or the partner who chairs the AI committee and answers for what it decides.

                  • Billable time captured from the file as the work happens, for the attorney to confirm
                  • Intake done in days: conflicts, engagement paper, matter setup
                  • Deadline calendars read from the documents themselves, every date confirmed by a person
                  • Demand and discovery drafts assembled for attorney review
                  Visit the practice →

                  Lobbying

                  Know what moved in the record before your client asks.

                  Usually our seatThe principal who signs the client report and the disclosure that follows it.

                  • Legislative and regulatory monitoring fused with the client book
                  • Hearing and comment-deadline calendars kept ahead of the docket
                  • Client reports assembled weekly, sourced line by line
                  • Disclosure filings prepared for a human signature
                  Visit the practice →
                  A restaurant point-of-sale terminal at the bar

                  Restaurants & Hospitality

                  Defend the margin line by line, week by week.

                  Usually our seatThe owner-operator, or the general manager who owns the prime-cost line every week.

                  • Supplier invoices checked against agreed prices, every line
                  • Inventory variance flagged weekly with the receipts attached
                  • Prime-cost reporting from the POS you already run
                  • AI phone answering for reservations and orders, tuned to your menu
                  See the results →

                  Government

                  Move the queues residents feel — pilot-sized and procurement-aware.

                  Usually our seatThe department head answerable for a queue residents can see from outside.

                  • Permitting triage and prescreen
                  • Program intake and eligibility with a human on every consequential decision
                  • FOIA and records requests processed on the statutory clock
                  • 311 and constituent-service routing with context attached
                  Visit the practice →

                  Government Contractors

                  Keep the bid, the submission and the signature with a person, and the record with the file.

                  Usually our seatThe capture lead or the contracts manager who answers for the compliance matrix, the clause list and the flow-downs.

                  • Every pursuit a record with a stage and a gate a person answers
                  • Compliance matrices built from the solicitation’s own text, every shall traced to a row
                  • FAR clauses tracked with who read what, the prescribing text governing
                  • Prime clauses paired against each subcontract, gaps flagged, language drafted for counsel
                  • Past-performance volumes assembled from sourced records, a missing field left blank
                  Visit the practice →
                  A conveyor sortation floor inside a plant, cartons moving along the lines beneath steel gantries

                  Manufacturing & Supply Chain

                  See the shortage coming while there is still time to do something about it.

                  Usually our seatThe operations or supply-chain manager who answers for on-time delivery, and for the cost of a line that stopped.

                  • Purchase orders and acknowledgments matched against what actually arrived
                  • Supplier lead times and late deliveries tracked into a pattern you can quote
                  • Inbound shortages flagged against the build schedule before the floor feels them
                  • Customs and country-of-origin paperwork prepared for a person to sign
                  Map the process that hurts →
                  A carpenter shaping timber at a workbench

                  Owner-Led Firms Preparing To Sell

                  Arrive at diligence with numbers a buyer can trust.

                  Usually our seatThe owner, ideally well before the broker is engaged.

                  • A recast P&L with every add-back evidenced
                  • A data room assembled early and kept current
                  • Working-capital and revenue-quality analyses run in advance
                  • Diligence request lists answered from the file, fast
                  See the results →

                  Political Campaigns

                  Run the calendar nobody can move, inside the rules that change by state.

                  Usually our seatThe campaign manager who owns every send, and the treasurer who owns every dollar and every filing.

                  • Research from public sources, every figure sourced
                  • Outreach drafts a staffer reviews and sends
                  • Contribution records reconciled for the treasurer
                  • Messages checked against published disclosure rules
                  Visit the practice →

                  We deliver any AI ask not listed here through the delivery network, as part of the engagement.

                  Where the discipline comes from

                  Proof of range, not a fence.

                  We bring every industry the discipline of LIHTC compliance, the founder’s first vertical, where every number must survive an exam.

                  A narrow corridor between tall storage racks, lit from above
                  Whatever the industry

                  Three things stay constant.

                  Audit first

                  We map your workflow before proposing anything, and if the honest answer is advice alone, that is your report.

                  A written ceiling

                  We agree scope and price before work begins, and the ceiling holds for the term, in every industry.

                  Measured against day one

                  We record your baseline at the start and show you the before-and-after at day 30, then the delta monthly.

                  Common questions

                  Asked by operators in every industry.

                  Do you only work in these industries?

                  No. We work with any firm in any industry, case by case, and any AI capability, from voice to security, is in scope through our tools and a vetted specialist network.

                  What does an industry engagement actually start with?

                  The diagnostic: a written map of how your work flows and what to fix first, credited toward whatever follows and yours to keep.

                  Who checks the regulated output?

                  A licensed CPA in our delivery network inspects every financial deliverable before it goes to you, disclosed in every engagement letter; this is advisory work, and no financial-statement audit, review or other attest report is issued. A person signs, files and pays, by contract.

                  Will this replace the systems we already use?

                  No. We connect by API on top of your ledger, practice management system and CRM, and your source of truth stays where it is.

                  How is pricing set?

                  By scope. The diagnosis sets what the work is, and the proposal names the price and a written ceiling that holds for the term.

                  Talk it through

                  Talk through your industry.

                  Bring the one process you know is broken, and we tell you whether it is worth mapping, even when the answer is no.

                  Talk through your industry →
                  Solutions · by function

                  Every function of the business.
                  One engine underneath.

                  Wherever documents move, deadlines bind and follow-up decides outcomes, the same engine runs. Find your function below.

                  Two workers silhouetted in the doorway of a warehouse

                  We can start from your function or your industry, whichever door is closer. Browse by industry instead →

                  One engine under every function

                  Every function, one engine

                  Every function of the business runs on the same five stages.

                  We run every function on the same five-stage engine, tuned to its documents and deadlines and measured against your day-one baseline.

                  The functions we work across

                  We keep your records clean and your close on a date. Licensed CPAs inspect and judge, as advisory work, with no financial-statement audit, review or other attest report issued.

                  We build a 13-week cash forecast that reconciles to your ledger, with variance flagged and sourced.

                  We chase every onboarding and offboarding step and watch credential and license expiry for you.

                  We put everything stuck in one queue, with an owner and a clock on every item.

                  We draft lifecycle messages from your own first-party data, on consented channels, for your team to send.

                  We keep your pipeline clean and your quote-to-close follow-up polite, relentless and logged.

                  We run your access reviews on schedule, reclaim unused licenses and verify backups by restoring them.

                  We track your obligations from the governing documents and collect the evidence as the year happens.

                  We triage your intake, draft answers to routine questions from approved sources and route the rest to a person with context.

                  We reconcile your invoices against contracts and price lists, and flag every renewal before its notice date.

                  We assemble, source and explain your numbers on schedule, and let you query them in plain English.

                  We brief your executives, train your teams on their own workflows and set up skills on your platform.

                  We deliver anything AI touches through our own toolset and the specialist network behind it.

                  The Books Ladder

                  Five rungs. You enter wherever your books actually are.

                  GAAP is triggered, not defaulted. We take you to GAAP only when an exit, financing, bonding or investors demand it, and sell-side advisors see no referral fees in either direction.
                  A single vessel on open silver water, seen from above
                  One function at a time

                  You will not be redesigning all of them.

                  We start with the one queue the business waits on, measure it from day one, and make the next one earn its turn.

                  Common questions

                  How function engagements work.

                  Can we start with just one function?

                  Yes, and we recommend it: we run the function where proof is fastest to a measured result, and expansion follows the evidence.

                  Do you favor one function over the others?

                  No. The diagnosis picks the function where proof lands fastest for your firm; accounting comes up often because its numbers can be recomputed.

                  Do these connect to our existing tools?

                  Yes. We connect by API on top of what you already run, and your source of truth stays where it is.

                  What stays with a person?

                  Signatures, filings and payments, tax positions and valuations, and anything bound for a regulator, court or counterparty. The contractual list is on the assurance page.

                  Talk it through

                  Talk through the work.

                  Name the function that hurts, and we tell you whether an agent system helps or a checklist and one hire beats it.

                  Talk through the work →
                  Results

                  Measured against
                  day one.

                  Our own records: the founder has confirmed every entry as real; sample sizes are not published; not an independent audit; nothing here is a guarantee.

                  A sprinter crouched at the starting blocks holding a relay baton
                  Behind every number

                  See the work behind the result.

                  Explore the process, the measurement, and the output.

                  Results are specific to each firm’s baseline, workflows and adoption; they describe what happened there, not a promise of what will happen for you. The diagnosis is how we find out what your number would be.

                  Your baseline

                  The first number we measure is yours.

                  Day one records how long the work takes now. Day 30 shows the same work against it — every number sourced or absent.

                  Start a conversation →
                  Help Desk · Members & clients

                  Report it once,
                  and the fix goes on file.

                  Every maintained engagement and membership carries 24/7 support. Report an issue here and it becomes a numbered ticket with the support team. The team is spread across time zones, which is what the 24/7 claim means.

                  Two developers reviewing code together at one screen

                  How the Help Desk works

                  How a report travels

                  Your report becomes a ticket the moment you send it, and the number comes back on this page and by email. The team answers from [email protected], and the ticket number keeps the thread in one place.

                  Who picks it up

                  A support team on retainer, spread across time zones. Signed in, your firm and workspace ride along with the ticket automatically; signed out, your email address is all we need to find you.

                  Why fixes stick

                  Every resolution lands in a repository of past fixes and the reasoning behind them, so the same issue gets resolved faster each time it appears, and the routine ones get faster every month.

                  An open doorway in a bright white interior, daylight falling across the floor
                  What the support claim means

                  A team across time zones, and a fix that goes on file.

                  Every maintained engagement and membership carries 24/7 support, and the support team on retainer is spread across time zones, which is what that claim means: coverage, scoped exactly as written, with no response time promised. Every resolution lands in a repository of past fixes and the reasoning behind them, and flows back into the firm’s core documents, so the same issue is not solved twice.

                  Report an issue

                  What broke, and what you expected.

                  A sentence or two is enough. Screenshots and files can go in a reply to the confirmation email.

                  The Help Desk covers maintained engagements and memberships. Not a client yet? Start a conversation instead — this queue can’t quote new work.

                  What support means here

                  Four different promises, and which of them we make.

                  “24/7 support” is one phrase covering four separate things, and firms are routinely sold it as though it covered all four. Here is what each one is, and what we say about it.

                  Acknowledgment

                  That your report arrived and has a reference. This is the one that is immediate and automatic: you get the number on screen and by email the moment the report lands.

                  First response

                  A person who has read it writing back. The retainer team is spread across time zones, which is what the 24/7 claim means and all it means. We publish no target for how quickly that happens.

                  Workaround

                  A way to keep working while the cause is still being found. Sometimes there is one and sometimes there is not. No target is published.

                  Resolution

                  The cause fixed, and the fix written into the repository of past fixes so the next firm never meets it. No target is published, and an unresolved report is never described as complete.

                  If your engagement letter sets targets, those govern and they are the ones that count. Nothing on this page adds to them, and nothing here should be read as a service level. Escalation goes to [email protected].

                  Your reports

                  What you have sent us.

                  Signed in, this lists the reports on file against your account, with the reference to quote.

                  Checking…

                  The Letter

                  The Makes Eleven
                  Letter.

                  Monthly notes on what changed in AI for regulated work, and what we would do about it. Short, specific, written to be acted on — and everything in it follows the house rule: sourced answers or a refusal.

                  On the shelf

                  Take something with you.

                  Three documents open in one click, with no address at all. The fourth is the Letter, and its form is just below.

                  For whoever has to answer

                  The Makes Eleven Letter

                  What changed in AI for regulated work, and what we would do about it. Each one takes a position and holds it.

                  For the first conversation

                  The A.G.E.N.T. method, a short read

                  The five stages, the artifact each one leaves with the client, the four questions that come before any of it, and the roughly eight-week shape a first engagement takes.

                  Read the PDF →
                  For the managing partner

                  The managing partner’s guide to AI

                  For the person whose name is on the answer when the committee, the client or the carrier asks how AI is controlled here. Each duty paired with the artifact it demands.

                  Read the PDF →
                  For the committee

                  The prohibited-actions register

                  All thirty-seven classes of action our agents are built to refuse, with the basis for each and the scope it binds. Printed from the file our own tests check the published count against.

                  Read the PDF →

                  Monthly notes on AI in regulated work, and the annual report when it publishes. One click to stop, any time.

                  A city sidewalk in monochrome, one figure in sharp focus while others blur past
                  Why we watch it

                  It moves whether you watch it or not.

                  The ecosystem shifts weekly; your practice shouldn’t have to chase it. We do the watching, and the Letter tells you what actually changed and what we would do about it — sourced, or not said.

                  From the letter

                  Positions, in writing.

                  28 AUG 2026Method

                  Why the diagnosis comes first, and why there is no rate card

                  Most AI engagements fail before the first line of configuration, because nobody mapped the workflow the software was supposed to run.

                  Read the note

                  Every failed automation project we have examined shares one property: the prescription came before the diagnosis. A tool was chosen, then a problem was found for it. We run the arrow the other way. Nothing gets proposed until we have mapped how work actually moves through the firm, and the map is a written deliverable you keep whether or not you continue.

                  That sequence is also why there is no rate card for engagement work on this site. The membership is the one exception: a single productized thing, identical for every firm that buys it, so its price is printed on the plans page where anyone can read it. Everything scoped to one firm is priced after the diagnosis has established what the work is. A published number is a promise made before the work is understood, and it fails in both directions: a national firm auditing every entity gets quoted as though it were a single office, or a six-person practice gets quoted as though it were an enterprise. Both are wrong. The scope has to exist before the number does, so we scope first and price to what we find.

                  What replaces the rate card is a discipline. The diagnosis is quoted up front and credited toward whatever follows. The proposal names the scope, the price, and a ceiling that holds for the term. Nothing gets billed that was not scoped, and nothing gets scoped that the diagnosis did not support.

                  The honest finding ("you don't need agents, you need a checklist and one hire") costs us the engagement and still gets written down. It appears in more diagnostics than you would think. If a proposal ever contains something the diagnosis doesn't support, you're holding the wrong proposal. That's the whole method.

                  Who it is for

                  For the person who will be asked why.

                  Managing partners, compliance officers, administrators: whoever has to answer for what their firm does with AI. Each piece takes one position and holds it.

                  28 AUG 2026Accounting

                  We built for the CPA shortage on purpose

                  About 651,000 actively licensed CPAs in the US, down from about 672,000 two years earlier (NASBA, August 2026) — and 2024 brought the fewest new exam candidates since tracking began in 2008. That is an architecture problem, not a staffing problem.

                  Read the note

                  The licensed bench isn't growing, the pipeline behind it is thinning, and every firm that needs CPA eyes on its financials is competing for the same people. You can pay more for the same hours, or change what the hours are spent on.

                  Our architecture does the second thing. Agents do the volume: categorization, reconciliation, assembly, chase. Licensed CPAs do what only they can: inspect and judge, as advisory work, with no financial-statement audit, review or other attest report issued. The disclosure is printed in every engagement letter, because the model only works if the client knows exactly who did what.

                  The shortage is the market evidence for the whole design. A CPA checking agent-prepared workpapers covers a multiple of the clients they could serve preparing everything by hand, and the work they keep is what their license was for.

                  28 AUG 2026Accounting

                  GAAP is a ladder, not a leap

                  Full GAAP on day one is over-prescription for most owner-led firms. The honest version is five rungs and an honest stopping point.

                  Read the note

                  GAAP is the reference standard buyers, lenders, and bonding agents actually use, which is exactly why it gets oversold. A firm with no exit on the horizon, no institutional financing, and no outside investors doesn't need ASC 842 workpapers; it needs reconciled accounts and a close that happens on a date.

                  So we sell a ladder: records → reconciled → accrual → GAAP-ready → diligence-ready. Clients enter wherever their books actually are, and full GAAP is triggered by something real (an exit inside two years, a covenant, a bond, an investor). No trigger? Stopping at rung three is the "never sell what you don't need" doctrine, applied to our own accounting build.

                  The rungs above stay lit for the day something real turns on. That's the difference between a ladder and a leap: you can stand on a ladder.

                  Between letters

                  What we are reading.

                  The News page carries the primary sources and measured data behind the Letter.

                  Read the news →
                  News

                  What moved,
                  and where we read it.

                  The developments and primary sources behind the positions we take — dated and sourced. Curation rule: primary sources and measured data only. No vendor decks, no hype cycles.

                  Recent items

                  Loading the news…

                  Why we watch the field

                  The options are limitless, so somebody has to keep looking.

                  The monthly scan, the Letter and, each December, the annual report are there for one reason: to keep clients on the best available technology rather than the one we happened to learn first.

                  Subscribe

                  The Letter carries what it means.

                  News is what happened; the Letter is what we would do about it. Subscribe on the Letter page.

                  The Makes Eleven Letter →
                  Why now

                  The engine arrived. The road didn't change.

                  Almost every firm has bought the tools. Very few have changed the work. That gap, not the technology, is the story of the last three years. It is why a small firm can now outrun a large one.

                  The first mistake

                  Rockets on a horse.

                  “We are, in many cases, bolting a jet engine onto a horse carriage — and wondering why it doesn’t fly.”

                  We find where your powerful tool is strapped to a process shaped by human limits: the eight-hour shift, the sequential handoff, the approval that waits for Monday.

                  The tell: the tool got adopted, everyone says it helps, and no line on the P&L moved.

                  A galloping horse with a rocket strapped to its back, thrusters firing.
                  Fig. 01 · More power, same animal
                  The second mistake

                  A Formula One engine in city traffic.

                  “The engine’s power is there, but the full potential is squandered by the limits of the road.”

                  We find the red lights in your process, the queue, the weekly meeting, the shared inbox, because the slowest gate sets the throughput.

                  This is the diagnosis most firms never get: not which tool, but which intersection.

                  Overhead view of a Formula One car boxed in by ordinary traffic at a red light. Fig. 02 · Throughput is set by the gate, not the engine
                  What the measured data says

                  This is not a hunch. It is the most consistent finding in the field.

                  Three independent bodies of research point at the same gap between adoption and earnings, and we publish the sources so you can check them.

                  Adoption
                  88%

                  Of organizations report using AI in at least one business function, up from 78% the year before. The tools are, effectively, everywhere. Source: McKinsey Global Survey on AI, 2025

                  Earnings impact
                  39%

                  Report any measurable effect on enterprise-level EBIT. Among those, most attribute under 5% of it to AI. Widespread use, narrow result. Source: McKinsey Global Survey on AI, 2025

                  Pilots
                  95%

                  Of enterprise generative-AI pilots studied delivered no measurable P&L impact. The authors attribute the divide to approach, not to model quality. Source: MIT Project NANDA, The GenAI Divide: State of AI in Business 2025 (52 interviews, 153 surveys, 300+ disclosed initiatives)

                  Read the argument at its source. The framing on this page follows Hofmann, D. & Kruhse-Lehtonen, U., “The agent-centric enterprise,” Harvard Data Science Review (DAIN Studios), which introduces the Agent OS framework and the A.G.E.N.T. playbook. Their executive summary puts it plainly: AI is being bolted onto workflows designed for humans, not machines, and that structural mismatch is what guarantees disappointing results.
                  What actually differs

                  Two operating models, six design decisions apart.

                  We place your firm on this table, because how the work was shaped matters more than which model you bought.

                  DimensionHuman-drivenAgent-driven
                  Process design
                  Optimized for human comprehension
                  Optimized for autonomous execution
                  Knowledge
                  Tacit; it lives in people's heads
                  Explicit and machine-readable
                  Work allocation
                  By role and department
                  By capability and availability
                  Coordination
                  Meetings and email
                  Real-time protocols between agents
                  Improvement
                  Periodic review cycles
                  Continuous, and logged
                  Reported productivity
                  20–40% incremental
                  2–10× on selected processes

                  Comparison and the reported productivity ranges from Hofmann & Kruhse-Lehtonen, “The agent-centric enterprise,” Harvard Data Science Review, citing Noy & Zhang (2023), Riedl et al. (2023), OECD (2025), McKinsey (2025) and BCG (2025). The second column is the destination, not a promise. Which row you can honestly move is what a diagnosis is for.

                  Read the middle column carefully. We write down the playbooks and decision criteria that live only in people’s heads first, because that missing knowledge is the most common blocker we find.
                  What actually works

                  Rebuild the road.

                  We redesign your process so an agent can act, with data reachable and gates placed deliberately, starting with one workflow and taking weeks, not quarters.

                  We keep every gate that carries judgment, liability or a signature, because those are why anyone trusts the output.

                  SIGNAL ENRICH SCORE COMPOSE HUMAN · SIGNS SAME ENGINE NEW ROAD GATES DELIBERATE Fig. 03 · The gate you keep is the one that carries judgment
                  What changes on the other side

                  The point was never headcount. It was where your best people spend Tuesday.

                  We put an engine that once took an enterprise budget to work for a firm of six, and we stay on every trend so you compete with the best technology available.

                  Execution → orchestration

                  We hand routine execution to agents so your people move up to framing problems and leading. You hired them to think.

                  A consistent floor

                  We design your workflow to a floor that holds no matter who is out, because consistency beats raw speed in regulated work.

                  Return on inference

                  We track return on inference, what each unit of machine reasoning actually produced, which is harder to fake than a license count.

                  Agency, not autonomy

                  We build for how much your people can direct a system, and raise what it does alone only where the evidence earns it.

                  If the argument lands

                  Then it is worth thirty minutes.

                  Bring the one workflow this page made you think about, and we tell you whether it is a good candidate, even when the answer is no.

                  The method we run

                  Audit. Gauge. Engineer.
                  Navigate. Track.

                  We take one workflow from slow and unexplained to measurably better in five stages, and each stage ends in an artifact you keep.

                  Stage by stage

                  Know what you get. At every step.

                  Explore the deliverables before you commit.

                  Gauge

                  Choose a first workflow worth fixing.

                  Agree the baseline, review the effort, and define what success looks like.

                  Opportunity shortlist

                  The published shape

                  Every stage leaves you with something you keep.

                  The published shape is roughly eight weeks: Audit and Gauge first, Engineer through the middle and on, Navigate and Track to the close. The clock starts on day one, when the accountable seat is named in writing. Scope sets the actual pace.

                  Adapted with attribution from Hofmann & Kruhse-Lehtonen, “The agent-centric enterprise,” Harvard Data Science Review.

                  The method

                  Nothing starts until the stage before it finished.

                  We start each stage only with the last one’s artifact in hand, so nothing is built on a guess.

                  Before the first letter

                  The playbook doesn’t start with a workflow. It starts with what the business is for.

                  We spend an afternoon on four questions before the Audit, so you never automate something that works fine.

                  Step 00Business objectives

                  We trace everything we build to a line on your list of what the firm is trying to do this year.

                  Step 01Your agentic position

                  We decide with you where machines play a role here and where they do not.

                  Step 02Opportunity identification

                  We sweep your whole value chain and confirm which known pain points are tractable.

                  Step 03Select the first workflow

                  We pick one workflow that matters and is safe enough to experiment on.

                  A

                  Audit

                  “What is actually happening, and why does it fail?”

                  We learn how your work is done today and which outcome really matters, because every later stage inherits this one.

                  The playbook
                  • Map goals, data, systems, roles
                  • Interview users; capture pain points
                  • Document desired outcomes, not just outputs
                  How we run it
                  • Sit with the people doing the work, not only the people managing it
                  • Start from the relevant Workflow Atlas board so you edit a draft rather than face a blank page
                  • Record the gates that exist by design and the ones that exist by accident
                  You leave with

                  A written picture of the as-is and the target outcome. Useful even if you stop here.

                  G

                  Gauge

                  “What would success look like for the business?”

                  We score each workflow on impact, repeatability and risk, and decide what we will not build.

                  The playbook
                  • Score steps on repeatability and risk
                  • Estimate outcome upside
                  How we run it
                  • Every step lands in one of five categories: automate, draft & Review, assurance, watch & Alert, or human-always
                  • The human-always register is written before anything is built, and it may grow but never shrink
                  • The success number is picked here: one number, agreed in writing, before work starts
                  You leave with

                  A prioritized shortlist of agent opportunities, and a documented list of what we declined to touch.

                  E

                  Engineer

                  “If you started fresh with AI, what would this look like?”

                  We redesign your flow so an agent can act, with data reachable, decisions explicit and handoffs deliberate.

                  The playbook
                  • Refactor the process for straight-through flow
                  • Build or configure the agent
                  • Define success metrics and guardrails
                  How we run it
                  • Everything is built on the same five-stage spine: signal, enrich, score, compose, act
                  • Autonomy is set task by task against our written reliability standard
                  • A separate examiner checks what the builder built; licensed professionals inspect anything regulated
                  You leave with

                  A working agent-first process ready to pilot, with measurable success criteria attached to it.

                  N

                  Navigate

                  “Who decides what, and what happens when AI is wrong?”

                  We design what happens when the system is wrong before it happens, so your people keep control as autonomy rises.

                  The playbook
                  • Add explainer UI, override and escalation paths
                  • Train staff on the new oversight roles
                  • Embed compliance checks
                  How we run it
                  • Every output carries its sources, its confidence and the record of what it touched
                  • Signatures, filings and payments stay human. Printed in the contract
                  • The people who will supervise the agents are in the room while it is designed
                  • Human review is a catalyst: validated output earns a system more autonomy later
                  You leave with

                  Human control that holds as autonomy rises, because the escalation path was built before it was needed.

                  T

                  Track

                  “Would your CEO believe these numbers?”

                  We prove value against the outcome chosen in Gauge, compared with what would have happened anyway.

                  The playbook
                  • Instrument KPIs and dashboards
                  • Run A/B or before-and-after comparisons
                  • Feed learnings into the next Audit cycle
                  How we run it
                  • Measured against your day-one baseline — a one-page before-and-after at day 30, then monthly
                  • A short dashboard on purpose: source, freshness, confidence, exceptions needing a human
                  • What proves out scales; what doesn't, we stop. Proof, then scale
                  You leave with

                  Outcome gains that fund the next move, or a documented reason to stop. Both are results.

                  Naming the parts

                  Five kinds of agent. The question is never “where can we use AI.”

                  We match each step to the right kind of agent and keep a person in control, so the conversation never collapses into tool shopping.

                  TypeScopeAutonomyWhere it shows up in a firm like yours
                  Assistant
                  Draft, summarize, answer, retrieve
                  Assist
                  Client correspondence, policy questions, meeting notes. Most firms already run this layer, which is why most firms mistake it for the whole thing.
                  Analyst
                  Analyze, forecast, simulate, recommend
                  Recommend
                  Variance review, risk flags, pricing and pro-forma scenarios, compliance exposure. Real leverage starts here.
                  Tasker
                  Execute one bounded action through a tool or API
                  Act, within limits
                  File the record, chase the document, update the ledger, open the matter. Bounded, logged, and reversible by design.
                  Orchestrator
                  Plan and run multi-step, cross-system work; delegate to other agents
                  Act or own, with escalation
                  The close, the recertification cycle, intake through demand letter, permit routing. This is where a workflow stops being a checklist and becomes a system.
                  Guardian
                  Monitor, evaluate, enforce policy, audit the other agents
                  Assist / recommend
                  Privacy checks, financial control gates, review of what the other agents produced. We build this one on every engagement, not on request.

                  Taxonomy adapted from Hofmann & Kruhse-Lehtonen, “The agent-centric enterprise,” Harvard Data Science Review. The Guardian row is where our reliability standard lives: a separate examiner checks what the builder built.

                  On film

                  The engine, in 43 seconds.

                  Watch the five stages run on one workflow: what moves, where every number gets a weight, and where the human gate sits.

                  00:00 / 00:43
                  Read the film as text

                  Every agent we ship runs the same five moves — Signal, Enrich, Score, Compose, Act. Only two things ever change: what it watches, and what it may do. It starts with a signal: a recertification due in 45 days. Enrich: the file assembles itself from the tenant file, the prior certification, and the agency rule. Score: every claim gets a weight — 0.92 and 0.87 proceed; 0.41 falls below the threshold, so the answer is a question to a human. Compose: a draft that shows its sources, line by line. Act — only as far as the gate allows: the filing is sent by a person, never by the agent. The same engine, tuned to your firm, measured against day one.

                  A vast concentric ceiling curving overhead in warm light
                  Where it starts

                  One room, one process, one accountable seat.

                  We start with the people who do the work saying where it waits, and end with a written map that is yours to keep.

                  The engagement arc

                  Diagnose. Propose. Deliver. Compound.

                  We run the five stages inside a simple commercial arc, and every step of it leaves you something you keep.

                  Diagnose

                  We map how work actually flows through your firm and put it in writing: what to automate, what to fix first, what to leave alone.

                  Propose

                  We write a proposal with package options, only what the diagnosis supports, and you choose.

                  Deliver

                  We build to our written reliability standard, and someone other than the builder examines it.

                  Compound

                  We measure monthly against your day-one baseline; what proves out scales, and what does not, we stop.

                  We ship every engagement with its boundaries in writing (the full architecture is on the assurance page) and back every maintained engagement with 24/7 support.

                  Enablement

                  People are the other half of eleven.

                  Executive briefings book directly, with no diagnosis required, and we train your people on their own work.

                  The AI Committee Briefing — 50 minutes

                  We brief the committee that has to govern AI, built for law firms and useful to any regulated practice.
                  Book it on the consultations page →

                  Workflow-anchored training

                  We train your people on their own work, built on your diagnosis and what we implement.

                  We build capability; we don’t certify it.

                  The shape of a first engagement

                  One workflow. Roughly eight weeks. Then you decide again.

                  We run the published sprint in three phases, so you see a result early while your people are still in the room.

                  Weeks 1–2Audit & Gauge

                  We map your high-value workflow, find where the time goes and agree the one number that decides whether it worked.

                  Weeks 3–5Engineer

                  We build and deploy your first agent workflow, guardrails included.

                  Weeks 6–8Engineer · Navigate · Track

                  We scale what works, wire the oversight and prove the number, then repeat on your next workflow.

                  Sprint structure adapted from Hofmann & Kruhse-Lehtonen, “The agent-centric enterprise,” Harvard Data Science Review. Scope, duration, and price are set per engagement; a six-person practice and a national rollout are never the same shape.

                  Stage one

                  The Audit starts with a map.

                  You run the first half hour of the Audit yourself in the Workflow Builder, and we turn your map into a plan.

                  Not found

                  That address doesn’t match a page here.

                  The link may be old, or the address mistyped (our routes are lowercase). Nothing was moved without a forwarding address, so one of these will get you where you were headed.

                  Members

                  Sign in to your
                  practice’s workspace.

                  Your firm’s atlas, its portal, and the four training quarters — in one place, for everyone on the membership.

                  The Letter

                  Off the list.

                  One click, no account, no reason required.

                  Members

                  Choose a new
                  password.

                  This link works once. Setting a password here signs out every device that was signed in, including whichever one prompted you to do this.

                  Consultations

                  Find the right first step,
                  then book it.

                  Every session books directly. What costs money is the first Audit, priced to your firm and the scope of the work.

                  Book a session

                  Every one of these books directly.

                  We book every session directly; the paid step is the first Audit, under Strategy Consulting, held to a written ceiling. The Efficiency Audit is for firms already running AI.

                  Every session is on Zoom unless you ask otherwise. If none of these is the right shape, use the form below and a person will answer.

                  Already working with us

                  Sessions for firms already engaged.

                  Find the right first step

                  The right first step, in one question.

                  Say where you are and we name the next step, why it fits and what you leave with. No account, no email, nothing stored.

                  Where are you today?

                  The shape of it

                  What actually happens, and what you have to do.

                  We show the five stages of the method from your side of the table: what arrives, what you supply and who decides at the end of each.

                  Two clocks, and only two. Day one is the day the accountable seat is named in writing. The month is a month of running both ways and timing them. If the baseline has not moved by day 30, we say so and you can stop. The published sprint runs roughly eight weeks, and scope sets the rest, so no fixed project length is promised here.

                  Where this starts

                  Three commitments, made before any work begins.

                  We start with one process, one accountable person and one month of running both ways, timed.

                  OneOne process

                  We audit, redesign, govern and measure one workflow, and say so if it does not survive measurement.

                  TwoOne seat

                  We name the person who can stop it, in writing, on day one.

                  ThreeOne month

                  We run the manual way and the agent way side by side and time both. If the baseline has not moved by day 30, we say so and you can stop.

                  Want to arrive prepared? We turn the process that hurts into a map in ten minutes, with no account and nothing stored until you send it.

                  Open the builder →
                  A small child standing at the bottom step of a wide stone staircase
                  The first step

                  Enter where you actually are.

                  We meet your firm where it is, even at rung one, and climb one step at a time with an artifact you keep at every stage.

                  How pricing works

                  Scoped before it is priced.

                  We price your work to your firm and its scope, because the work is never the same twice.

                  First, the diagnosis

                  We scope the work before anyone quotes it

                  We quote the diagnostic to your firm’s size and ground and credit it toward what follows, and you keep the written map either way.

                  Then, a written ceiling

                  The number is agreed before work begins

                  We name scope, price and a ceiling that holds for the term, and bill only what was scoped. Executive briefings book directly.

                  Where to start

                  Diagnosis before prescription.

                  Three questions give an initial direction, not a diagnosis: the kind of team, what slows it down, and how many people are involved. Nothing here is sent anywhere.

                  3 questions · no account

                  Where would a first conversation start?

                  Step 1 of 3
                  What kind of business or team is this?

                  Choose one option to continue.

                  Would rather talk it through? Book a 30-minute call

                  Capacity, in your numbers

                  What could your team get back?

                  Adjust the assumptions. See the capacity.

                  Your workflow

                  Tasks or files the team handles in a month
                  Staff effort per item as the work runs now
                  Includes per-item human review
                  Dollars per staff hour, fully loaded
                  Your capacity estimate
                  40 hours

                  of capacity per month

                  $1,800

                  gross monthly capacity value

                  Illustrative estimate. Includes human review. Capacity value is not guaranteed cash savings.

                  Discuss this workflow →
                  Add implementation and running costs

                  Freed hours only become cash when a cost actually goes away. Add what the change would cost to set up and run, and the share of the recovered labor value that turns into avoidable spend. Nothing here is prefilled; a blank field means we are not assuming a number.

                  One-time cost to implement, in dollars. Leave blank if unknown.
                  Recurring running cost, in dollars a month. Leave blank if unknown.
                  Of the recovered labor value, the percentage that becomes an avoidable cash expense, such as overtime, contractors, or a role not backfilled. Time that is simply reabsorbed is capacity, not cash.
                  Optional. Hours a person spends each month supervising the workflow as a whole. Does not include the per-item review already counted in minutes after improvement.

                  Illustrative inputs, not client results. The diagnosis validates the assumptions before we propose anything.

                  A person walking down a wide spiral concrete staircase
                  After the call

                  You can stop here.

                  The session ends in a straight answer, and sometimes the answer is that nothing here is worth doing yet. The map is yours either way, and nothing in it commits you to a build.

                  What changes the scope

                  Bigger or smaller, and why.

                  Five things move the size of an engagement more than anything else. Answer them and this says where the work would come from and what a proposal still has to settle. It produces no number, deliberately.

                  Take it to your team

                  The page you hand to whoever has to agree.

                  Most decisions are not made by the person reading this. Here is a one-page brief for Operations, Finance or IT, written from what you have already told this site. Edit it, cut what you do not need, then copy or print it. Nothing here is sent to us.

                  Who is reading it
                  What to include

                  Start a conversation

                  Bring one workflow. Leave with a clearer next step.

                  A 30-minute conversation with Leon Fields II, the founder. Or a short message, if you would rather write.

                  Book a conversation

                  We talk through the one process you know is broken and give you a plain answer: a diagnosis, or a checklist and one hire.

                  • 30 minutes.
                  • With Leon Fields II, the founder.
                  • Online. The booking page sets the video call.
                  Book a 30-minute call →

                  Calendly opens in a new tab, and its own privacy settings apply there. Nothing you typed here is sent to it. Opening the page is not a booking; you choose a time on it.

                  Prefer to write?

                  A sentence or two is enough. A person reads it and replies by email.

                  Leave out client names, matter details, and anything confidential. That belongs in a conversation, not a form.

                  Already answered the three questions, or used the calculator? Keep a copy for the conversation.

                  Nothing is saved on this device yet. The three questions or the calculator fill this in, and it stays in this tab.

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                  Prompt Studio

                  Piloting: say it so
                  the machine can carry it.

                  Nine fields, each one a lesson. Fill them honestly and the Studio assembles a complete, structured prompt — test it here, copy it anywhere, and save the good ones to your firm’s shared library.

                  Invitation

                  Join your firm’s
                  membership.

                  A colleague has added you to their firm’s Makes Eleven membership.

                  Your account

                  Settings, membership
                  and how you sign in.

                  What your firm holds, who is on it, and the details that are yours to change.

                  Membership

                  One portal.
                  The whole firm.

                  Up to ten named people, unlimited on enterprise, all with the full Workflow Atlas for your vertical, the portal and four training quarters.

                  Fourteen days to change your mind on a first purchase, no questions asked. The refund policy says so in full.

                  A membership belongs to the firm: the full Workflow Atlas for your vertical, the portal, the Prompt Studio and four training quarters, billed monthly or annually per firm. Prices are on every card below, before you sign in and before anything is charged, and a fourteen-day refund covers a first purchase.

                  What every membership includes

                  • The full atlas for your vertical. We open every board in your vertical, beyond the one that is free to everyone.
                  • The portal. We give you its processes, each with how far autonomy may go and the seat that can stop it.
                  • Four training quarters, against your own work. We train your team on Audit, Gauge, Engineer, Navigate & Track; in Law, a profession-specific curriculum structured to support CLE where your jurisdiction permits. We are not an accredited provider.
                  • Up to ten seats on a single vertical; unlimited on enterprise. Colleagues on your work domain join themselves.

                  A membership renews automatically until you cancel. You can cancel any time by emailing [email protected] from the address on the membership, and access continues to the end of the period you have paid for. Annual is priced at ten months for twelve.

                  Prices in US dollars, billed per firm. By subscribing you agree to the terms, the privacy policy and the practice disclaimer — which says plainly that this is operational guidance for running a practice, not legal, tax, accounting or compliance advice.

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                  Training

                  Trained on your work, not on slides.

                  We run four quarters on your own workflows, your atlas boards and your firm’s prompts, so what your team learns, it keeps.

                  Legal

                  Terms of service.

                  What a Makes Eleven membership is, what it isn’t, and what each of us owes the other.

                  Legal

                  Privacy policy.

                  Short, because there is little to declare. We collect what a membership needs to work, and nothing to sell.

                  Legal

                  Refunds and cancellation.

                  Stated here and on the plans, so nobody discovers it after paying.

                  Legal

                  The practice disclaimer.

                  The one that matters most, given who is reading. Guidance for running a practice is not advice about practicing.

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