AI as Capital Discipline

I help CEOs, CFOs, boards, and operating partners make AI decisions that survive contact with live work.

My work sits at the point where intelligent systems meet real organisational constraints: cost, control, dependency, workflow, and proof.

Most teams begin with an Executive Calibration: a short, senior session that clarifies decision rights, stop authority, exposure, and the conditions that must be true before anything scales.

90 minutes, senior-only. You leave with a clearer view of whether to hold, narrow, test, or scale, and what must be true for the next step to be defensible.

My work centres on operating discipline, value flows, organisational readiness, and the conditions under which intelligent systems become governable, credible, and economically real.

Speaking

Clear, grounded keynotes for executives, boards, and leadership teams facing real AI decisions.

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

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Advisory

Senior intervention for leaders making high-stakes AI decisions under pressure.

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 working through the realities of AI in live organisations.

Essays on delegation, control, workflow redesign, operating models, economic proof, and the conditions under which AI becomes worth scaling.

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The Book

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

A practical field guide for leaders navigating AI where value, governance, workflow, and organisational reality meet.

Focused on control, coordination, economic defensibility, and outcomes that can survive scrutiny.

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Podcast Archive

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

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