AI as Capital Discipline

I help CEOs, CFOs, boards, and operating partners in private equity decide what AI to fund, test, scale, or stop before cost, risk, and dependency harden into the operating model.

Most organisations do not need more AI activity. They need clearer judgement on what is real, what is being mistaken for progress, and what can actually be trusted under live conditions.

Most work starts with an Executive Calibration: a short, senior-only session to clarify what is working, where exposure already sits, and whether the next move is to hold, narrow, test, or scale.

‍90 minutes, senior-only. You leave with a defensible view of what should happen next, what must be true before anything expands, and where weak assumptions are about to get expensive.

‍Speaking
Clear, grounded keynotes for executives, boards, and leadership teams facing real decisions about where AI creates value, where it creates drag, and what it takes to make it defensible.

No hype. No borrowed certainty. Just practical language for control, coordination, governed autonomy, and the conditions that determine whether AI delivers or disappoints.

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Advisory
Senior intervention for leaders making high-stakes decisions under pressure: what is working, what is not, what should scale, and what should stop before weak proof becomes live dependency.

Most advisory work begins with Executive Calibration, then continues through strategic guidance, targeted intervention, or architectural support where consequences are real and weak assumptions get expensive.

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Writing
Long-form analysis for executives, investors, founders, and operators trying to understand why promising systems so often fail to become credible, governable, or worth scaling.

Essays on delegation, control, workflow redesign, operating models, economic proof, and the conditions under which AI becomes more than activity.

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The Book
UNHYPED: From Hype to Hard ROI in the Age of AI

‍A practical field guide for leaders trying to separate AI activity from AI value, and to make decisions that survive scrutiny once systems meet live work.

Focused on control, coordination, economic defensibility, and outcomes that hold under real operating conditions.

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Podcast Archive
Conversations on AI, coordination, control, risk, operating models, and the pressures leadership teams face when systems move from demo to dependence.

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