#board-governance
How Boards direct, oversee, and stay accountable as AI lands.
Tagged articles (70)
The Reasoning Gap: The Capability the Law Now Demands of Boards
UK law now requires four safeguards for solely automated decisions. Most Boards have approved probabilistic systems that cannot deliver them in operation.
AI and the Chair: Governing the Board Through The Great Remaking
Existing chair responsibilities now require different execution as AI remakes both the Board's own work and the work the Board governs.
Maximum Fidelity: How Four Indicator Types Strengthen Board Decisions
Four indicator types give boards progressively higher decision fidelity: lagging, leading, predictive, and reasoned. Together they represent the most accountable governance instrument available.
From Probable to Provable: What Automated Reasoning Means for the Board
Automated reasoning gives Boards access to proof, not probability. This article explains what it is, where it already operates, and why it changes governance.
AI and the Director: A Practical Playbook for Governing What You Can't Fully See
Directorial AI literacy is not technical fluency. It is four specific capacities that let directors interrogate maturity claims, assess real governance, and exercise independent judgement.
The Great Remaking: The Questions Boards Should Be Asking About Their AI Position
Pilot counts and budget lines cannot tell a Board whether work is being remade. These questions, built on the data, talent and process loops, can.
The Great Remaking: Why Fast Following Does Not Work When the Gap Compounds
Every previous technology wave rewarded fast followers. The Great Remaking does not: the advantage is operational accumulation that cannot be bought and compounds with time.
The Great Remaking: How the Four Dimensions of Work Are Transforming
AI is remaking thinking, deciding, creating and delivering at different speeds and towards different ends. Treating them as one question is most organisations' mistake.
MCP Explained: The Agent Infrastructure Standard Boards Need to Understand
An agent that sees only the public internet is an expensive search engine. MCP connects agents to the proprietary systems that constitute advantage.
The Personal Agent Economy: When Your Best AI Isn't On Your Balance Sheet
Individuals now own AI agents that encode their judgement and expertise, capability that belongs to them rather than their employer. The assumption has inverted.
The Inference Migration: What Consumer Agents Mean for Enterprise AI's Next Phase
Consumers are already paying for always-on AI agents. That consumer-to-enterprise pipeline is the one ChatGPT ran, and it is running again.
The Invisible Asset: Why Boards Should Govern Data Like It's on the Balance Sheet
Boards steward physical assets with condition checks and ownership, and govern data as if it did not exist. The gap is governance, not technology.
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