AI advisory for CEOs who actually have to run something.
Most operating companies get linear returns from a technology that should be compounding. The gap isn't tooling — it's that AI demands three disciplines at once, and almost every CEO is strong in one.
The technology is real. The strategy decks are everywhere. The pilots are running. And still, returns stay flat — because AI inside a real operating company demands Strategy, Translation, and Execution simultaneously. They don't add. They multiply. A weak score anywhere drags down the whole product.
A brilliant strategy with no execution muscle is a deck. Relentless execution with no strategy is expensive noise. And without translation, the board funds neither.
This is why a CEO who is a 9 in one discipline loses to a CEO who is a 7 in all three.
9 × 2 × 1 = 18 vs 7 × 7 × 7 = 343
Most advisors sell one of these. The returns only compound when all three move together — which is why this practice refuses to separate them.
Every engagement below was developed inside a real operating company first — real procurement, real legal review, real people, a real P&L. Industry-agnostic by design.
A structured framework for translating technology-curve assumptions into capital allocation decisions a board can defend.
A diagnostic mapping which roles, processes, and unit economics shift when AI materially compresses cost-to-serve.
A communication framework that reframes AI investment as a capital thesis rather than a discretionary experiment.
A facilitated working session that gets the CFO, the CTO, and operations leaders committed to the same bet, in the same words.
A repeatable system for shipping AI workflows through procurement, legal, and IT in days instead of quarters.
A weekly meeting and metric structure that turns AI from a project into a habit across the executive team.
Sixty minutes, CEO to CEO. You bring the real situation — not the sanitized version. We score the cube honestly and find the discipline holding the product down.
A short, sharp engagement that maps your unit economics under AI compression, your narrative gaps, and your execution bottleneck. Findings you can act on whether or not we continue.
An ongoing operating cadence — bets placed, narratives installed, workflows shipped — until the muscle produces without outside pull. Then the engagement ends. That's the point.
Led from the operator's chair. Decades of experience running national multi-unit consumer businesses — P&Ls where every decision shows up in the numbers.
Hands-on AI builders across operations, marketing, finance, and development. We build and ship daily — inside real companies, not labs.
Practice over theory. Every framework on this site was pressure-tested inside a real operating company, with real constraints, before it was offered to anyone.
On the front lines of the work most consultancies only describe.
One conversation is the only way to know if there's a fit. No discovery sequence. No sales team.