For leadership at engineering and accounting firms
You sell a signature. Everything before it is preparation.
Every deliverable your firm produces has a line through it. Below the line is preparation: pulling the data, running the calculation, formatting to standard, cross-referencing. Above the line is judgment, and the name that goes on it. That is where we work. Nothing we build crosses it.
See if a 30-day proof fits your firm →One workflow · Up to five people · 30 days · Written decision
Your capacity is not your headcount. It is your review hours.
Work in your firm queues at the signature. A principal or a partner can only review so many hours a week, and no amount of speed upstream changes that ceiling. It shows up as the symptoms you already know: turnaround slipping when the load spikes, the same two or three people carrying every deliverable, and growth that stalls because the only fix is hiring someone licensed.
Try it on your own firm: count the people who sign, then the hours each spends reviewing rather than producing, then divide by the average review time per deliverable. That is your ceiling this week. It does not move when the drafting gets faster.
Most AI products sold into professional firms promise faster drafting. For a firm whose constraint is review, that makes the backlog worse. More drafts arrive at the same signature, the reviewer falls further behind, and the firm has paid for the privilege. The only automation that moves a licensed firm is whatever makes a draft arrive review-ready: checked against your own checklist, cross-references verified, formatted to your standard. Every one of those cuts minutes off a review, and review minutes are the currency.
Four moves. Only the last one is about the machine.
- Question the process.
Which review steps exist because a standard requires them, and which exist because someone once made a mistake?
- Cut the rework.
Every draft that goes back with review notes and comes around again is the same work done twice.
- Apply what your firm already knows.
Your standard already exists, in the checklist, the manual, and the last deliverables that went out clean.
- Fix the handoff.
One handoff decides your capacity: preparer to reviewer. That is where the time goes.
Three of the four have nothing to do with software. That is the point. You are hiring judgment that stays; the workflow is what makes it hold after we are done.
How the thirty days run.
Week one: choose and map
We pick the workflow together, name who owns it on your side, document how it is done today, and record the baseline the result will be measured against.
Weeks two and three: configure and train
The workflow is set up around your standards and review rules, inside your own systems. The people who do the work are trained on it and use it on live work, with a reviewer named for every output.
Week four: measure and read out
We compare time per cycle against the week-one baseline, record what the team adopted and what they sent back, and write the recommendation: continue, refine, or stop.
A decision you can act on.
- A documented current-state workflow
- A working AI-assisted process
- Defined human review points
- Time per cycle, before and after
- Adoption and output-quality observations
- A written recommendation, including stop if that is the honest answer
The map is yours whether or not you continue. A written picture of where your firm's time actually goes, ranked by cost, is worth having on its own.
What never crosses the line.
Some outputs never get handed to a machine, no matter how good the track record gets. The system may prepare, rank, check, and assemble. A licensed person signs.
- Anything sealed, stamped, or signed
- Anything filed with an agency, a court, or a taxing authority
- Opinions, financial statements, and attestation reports
- Client correspondence going out under a principal's or partner's name
- Anything that creates a contractual obligation
- Anything touching trust accounts or client funds
That is not a setting someone can turn off in a hurry. It is how the system is built.
The supervision ladder you already run.
Nothing here asks your firm to adopt a governance model it does not already have. You have run one for as long as you have been licensed.
At an engineering firm
- An EIT works under a PE. Scope widens as they earn it; the PE stays in responsible charge the whole way
How your state board and your professional liability carrier treat AI-assisted preparation is a question to put to both of them directly. Carriers are actively writing language on this now.
At a CPA firm
- A staff accountant's work goes through senior, then manager, then partner, tightening or loosening on what that person has shown
Disclosure and use of taxpayer information is governed by IRC section 7216 and Circular 230. Whether a given AI arrangement counts as a disclosure is a question for your own counsel.
We do not answer either question for you, and we do not pretend to. We build so the answer is easy either way: preparation below the line, judgment above it, and a record of which is which.
The system may prepare. It may not send.
Anything that sends, posts, pays, files, or speaks for your firm stops and waits for a person. Read-only and draft work runs on its own.
- Approved data boundaries
- Role-based access
- Human review before consequential use
- Client IT or administrator involvement where required
- Clear ownership for workflows and updates
Work happens inside your own systems. Least privilege throughout. Nothing moves out without written approval, and nothing connects without sign-off. Your firm's own confidentiality and independence rules set the boundary; we build inside them, not around them.
Find one workflow worth proving.
In a 15-minute fit call, we will discuss the recurring work that creates the most drag, who should test it, and what a useful 30-day result would look like.
See if a 30-day proof fits your firm →I run this system daily across my own operations, an AI consulting practice among them, not just my clients'. What I install for you is what I run myself.