I work directly with CEOs, boards, and investors trying to figure out what AI and agentic systems actually mean for their operating model. Each engagement has a fixed scope, a clear end, and a price you can see before we talk.
For: CEOs, boards, PE firms, and executive teams.
Where can AI materially change this business, what should we do about it, and what should we avoid? You get an executive action plan, not a technology roadmap. $60,000 for a portfolio or multi-entity review.
See what you get →For: Leadership teams that need to get aligned fast.
A working session on what agentic work actually means, where digital labor fits, and what it does to your operating model, governance, and workforce plan.
See the agenda →For: CEOs, boards, and investors in the middle of it.
A standing relationship: one or two working sessions a month, async access between them, and a second set of eyes on the decisions that are hard to reverse. Three-month minimum term.
See how it works →Not sure which one fits? Start with a 30-minute conversation and I will tell you directly — including when the answer is none of them. Book a call →
Most leadership teams do not have an AI problem. They have an unanswered question: where would AI actually change this business, and what would it cost us to find out the hard way?
Two weeks. I interview your leadership team, review how the business actually runs, and come back with the highest-value opportunities, the real risks, and a sequenced plan your executives can act on. Clear beginning, clear end, one decision to approve.
Where this comes from: I rebuilt my own company's operating model around agentic labor working alongside human staff. Product development throughput went from 15 story points per engineer to 175, with code quality and test coverage up rather than down. See the detail →
An executive action plan: what to do in the next 90 days, what to stage, and what to leave alone
The three to five places AI changes economics in your business — with the reasoning, not a category list
The risks that matter for your industry, exposure, and customer commitments
A view of what has to change in the operating model for any of it to hold
A readout built for the board or investment committee, delivered live
Fixed scope, one fee, no discovery phase that quietly turns into a project. Half the fee credits against your first three months of advisory if you continue.
Half a day or a full day with your leadership team, built around your business rather than a generic AI briefing. Most teams walk in with five different definitions of what AI means for them. They walk out with one — and a list of decisions that now have owners.
This is the fastest way to get an executive team to the same starting line, and it is usually the easiest thing to approve.
Where this comes from: the frameworks in The AI-Native Organization, pressure-tested on a live rebuild rather than assembled for a slide deck. You are working with the person who ran the change, not someone facilitating a discussion about it.
What agentic work actually is, and where digital labor fits against the work you have today
Operating-model implications: who decides, who supervises, and what escalates
Governance and authority — how much autonomy is appropriate, and where the line sits
Build, buy, and partner decisions you are about to make anyway
Workforce implications, stated plainly enough to take to your people
A 12–24 month strategy the team actually agrees on
On-site or remote. Pre-work interviews are included in every format, so the session is about your business rather than the category.
This is not fractional leadership and it is not consulting hours. It is a standing relationship with a CEO, board, or investor navigating AI-driven business transformation — someone to think with before the decision is made, not to review it afterward.
I take on a small number of these at a time, because the value comes from actually knowing your business. Most begin after a diagnostic or a workshop, when there is already something real to work on.
Where this comes from: 25 years of carrying the outcome — a $750M software business rebuilt to $1.2B through a model shift, a product and engineering organization taken from a 35 percent defect-rejection rate to under 10, a company founded and exited. See the detail →
One or two working sessions a month with you, your leadership team, or the board
Async access between sessions — the call you make when something lands on your desk
Review of major AI, product, and operating-model decisions before they are committed
Architecture and strategy conversations with the people actually building it
Board participation where it helps — briefings, materials review, and the hard question in the room
Monthly, with a three-month initial term so there is enough runway to be useful. No minimum hours, no utilization reporting. Half of a prior diagnostic fee credits against the first three months.
You describe the situation. I tell you what I see, which of the three engagements fits, and what it costs. If none of them fit, I will say so and point you somewhere better.
Dates, deliverables, participants, and fee on a single page. Nothing longer than that is required to start.
Diagnostics begin within two weeks of signature. Workshops are scheduled around your leadership calendar. Advisory relationships start the month you sign.
If AI is changing the shape of your business and your leadership team does not yet agree on what that means, that is the conversation. 30 minutes, no pitch, a direct answer on fit.