Board Advisor — AI Execution & Advisory
Keep our execution methodology honest — what really moves a program from pilot to practice, and where our approach breaks.
Why this seat exists
The embedded execution side of the practice rests on a methodology: find the invisible human judgment inside an AI-mediated process, classify it, name the seats, choose the loop posture deliberately, instrument the human contribution, and run a cadence.
That methodology is a claim about how organizations change, and claims like this are usually partly wrong in ways their authors cannot see. This advisor is the person who tells us which parts.
Where you would help
- Pressure-testing the execution methodology against what you have actually watched succeed and fail at scale
- Human-in-the-loop design: where our three-posture framework is too clean, and what oversight looks like when it genuinely holds
- Governance and regulatory trajectory — model risk, the EU AI Act, sector supervision — and what enterprises will shortly be required to evidence
- The economics: how buyers evaluate an embedded engagement, and what makes them believe a claim about return
- Reviewing engagement design on live work, particularly the first thirty days, where these programs are won or lost
- Telling us when the thesis is overreaching. It is a strong argument and strong arguments harden into dogma
Who fits
Again, several profiles work:
- An operator who has carried an enterprise AI program from pilot into production and can describe the organizational work rather than the technical work
- A COO or transformation leader who has installed an execution layer and knows what it cost politically
- A model risk, audit, or regulatory executive who has examined AI governance and can say what evidence actually satisfies a supervisor
- A human factors or decision science practitioner — automation bias and vigilance are load-bearing in our argument and we would like to be challenged by someone who studies them properly
- A consulting partner who has run these programs and is candid about the ones that did not work
What we ask
- Roughly four to six hours a quarter, plus reading the research before it publishes
- Substantive disagreement. This seat is worth nothing if you agree with us
- Comfort with our position that we do not sell autonomy, do not sell tools, and hand the capability back — if you think that is commercially naive, say so early
- Disclosure of any conflict with a current employer or client
What you get
We do not publish the terms. What we will say is that the participation is structural and permanent rather than a token retainer, and that it is sized to make this seat worth taking seriously.
We put the full package in front of you early, in writing, rather than making you ask.
A short note is enough to start.
Tell us what you have seen that makes you useful here, and where you think we are already wrong. That second part matters more than the first.