The questions everyone asks. Answered before the meeting.
What about my team?
The immediate goal isn't cutting people: it's producing far more with the same people. The team doesn't watch the project from the sidelines: it's trained inside it, to design and run the new operation. Whoever types today starts checking, deciding exceptions and caring for clients. The work moves up a level, and that's what keeps your best people when the market comes for them.
AI makes mistakes. Who answers for them?
Whoever always answered: your firm, under the same rules as ever. That's why the verification design is part of the project, not a detail: we define who checks what, by sampling or piece by piece, and nothing with external effect goes out without passing through the approved circuit. Anything that could cause serious harm runs with one-by-one human approval, as a rule.
My operation is artisanal. Every case is different.
That's what almost every owner says, and it's almost always half true. Part of the operation really is case by case; part only looks that way, because it was never mapped. The diagnostic exists to tell the two apart: the first we instrument, the second we aimize.
I've tried AI here and it didn't stick.
You probably tried tools: everyone on the team with a chatbot, each in their own way. What didn't stick was the absence of design: no redesigned flow, no verification circuit, no owner. Aimizing is something else.
Does the system stay mine or yours?
It depends on the design we make together: some firms run everything internally, some prefer AImization to operate it. In both cases, the record of how your firm decides is yours, and so is the diagnostic's map.
Do my data train third-party AI?
The project defines where your data live, and we work with enterprise configurations in which they are not used to train public models.
Do I need to replace my systems?
We start with the ones you already use. Replacing a system is a design decision when it makes sense, never a prerequisite.
And when the technology changes again?
It will, and we count on it. As a rule, we don't build what the models will deliver for free in six months: we build on top of what exists and concentrate the investment in what doesn't change hands: your process, your criteria, your history. When the model improves, your operation improves with it.
Would you serve a competitor of mine?
By default, yes. But exclusivity by territory or segment can be negotiated.
How much does it cost?
Closed-scope projects: fee and scope defined before we start, front by front. The crossing starts with the diagnostic.
Do I lose authorship?
Quite the opposite: authorship is the product. The system carries your name, asks the way you would ask and writes in your standard. The final recommendation and the signature remain yours, by design.
My method is in my head. It can't be transferred.
That's what every expert thought before going through the capture process. The method comes out in working sessions: the questions you ask, the order you ask them in, the signals you read, what you turn down. Whatever is genuinely untransferable (your eye for the rare case) remains the reason people seek you out personally.
And if the system makes a mistake in my name?
It doesn't issue a final opinion and it doesn't sign: it returns a preliminary diagnostic and a referral, with its limits stated. The case reaches you before any decision. The design defines what it can do, and what it never does.
Doesn't this devalue my hour?
It inverts the equation: your hour stops being spent on triage and first conversations, and starts being sold where it's worth the most, on the qualified case. The preliminary diagnostic becomes the entry product, at an entry price; your hour becomes the floor above.
And when I stop?
Today, when an expert stops, the method stops with them. Recorded and running, it becomes an asset: it can be licensed, become a partnership, stay with whoever comes next. It's the difference between closing a calendar and leaving a body of work.
Is yours missing?
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