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The Board in the Machine | May 2026
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The Boardroom Re-Equipped
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Deloitte's 2025 finding that only 33% of boards feel equipped to govern AI captures the moment exactly. The responsibility, the accountability, and an unprecedented duty of engagement all sit with directors already, but the instruments that match those obligations have not yet been adopted. This month's articles work through what those instruments are and where the work begins.
The five pieces form a connected set on board-level governance of AI. AI and the Director sets out what individual directors must develop to exercise oversight and constructive challenge in conditions of qualitative information asymmetry. From Probable to Provable introduces a fourth class of governance instrument — reasoned indicators derived not from probability but from formal proof. Maximum Fidelity brings the four indicator types together as a single instrument for the decisions Boards actually face. The Appreciating Ledger extends the framework to the CFO, where AI capital behaves unlike anything the conventional ledger was built to measure. And AI and the Chair traces the chair's responsibility for policing collective accountability when both the Board's own work and the work it governs are being remade simultaneously.
The pattern across the five is upgrade rather than replacement. Existing governance principles — independent judgement, fiduciary duty, collective accountability — do not move. What moves is the standard of engagement directors are now expected to bring, and the quality of the instruments available when they bring it. The chair, the director, the CFO, and the Board collectively each carry responsibilities that AI did not create but has unmistakably sharpened.
If your time is limited, I particularly recommend Maximum Fidelity. It is the piece that most directly equips the question every director should now be asking around the table: are we deciding with the highest possible fidelity view of what is known, what is probable, and what is certain — and if not, why not?
How is your organisation upgrading the instruments its Board uses to govern AI, and where is the gap between the responsibilities your directors carry and the capability they have to carry them?
- Mario
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This Month's Insights
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AI and the Director: A Practical Playbook for Governing What You Can't Fully See
Published 29 March 2026 | 11 minute read
The informational asymmetry between management and the Board has always been the central tension of governance, but AI has made it qualitatively different rather than merely larger. This article defines what closing the gap actually requires: not technical fluency, but specific capacities for independent evaluation mapped against the governance obligations every director already carries, with a diagnostic framework for identifying exactly where the work needs to start.
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From Probable to Provable: What Automated Reasoning Means for the Board
Published 5 April 2026 | 13 minute read
Lagging indicators report on the past, leading indicators signal direction, and predictive indicators model possible futures — but automated reasoning offers something different entirely: proof. This article explains what automated reasoning is, where it already operates across regulated industries from civil aviation to TLS cryptography, and why it represents a new class of governance instrument for Boards. The result is a fourth type of indicator, one that proves rather than estimates.
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Maximum Fidelity: How Four Indicator Types Strengthen Board Decisions
Published 12 April 2026 | 13 minute read
Lagging, leading, predictive, and reasoned indicators applied in combination to a single decision represent maximum fidelity — everything knowable made available before the judgement is made. Through three worked examples covering a major acquisition, a market entry, and a significant capital allocation, this article shows how the combined instrument changes both the quality of Board decisions and the way collective accountability is owned. Maximum fidelity does not eliminate judgement; it clarifies which questions have knowable answers and which require it.
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The Appreciating Ledger: When AI Capital Outgrows the CFO's Rulebook
Published 19 April 2026 | 11 minute read
AI capital behaves unlike anything the finance profession has measured before: it appreciates rather than depreciates through use, accumulates through reinvestment rather than paying back linearly, and surfaces value in functions other than the one that funded it. The project-ROI lens, optimised for predictability and attribution, cannot register these behaviours. This article sets out the instruments CFOs need to extend their scorecard, treat capability as an asset class, and convert the AI investment conversation from cost justification to capital accumulation.
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AI and the Chair: Governing the Board Through The Great Remaking
Published 26 April 2026 | 14 minute read
The chair's role was built for a stable world that no longer exists. The Board's own work is being remade by AI tools that silently invite the substitution of director judgement, while the work the Board governs is being remade by operational AI deployments most directors cannot interrogate. This article traces how Cadbury, the FRC, and the IoD have set out chair responsibilities — none dispensable, all now requiring different execution — with collective accountability as the principle the chair must actively police in both states.
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