#decision-making
How decisions get made, evidenced, and answered for.
Tagged articles (21)

Not Everything Needs AI: The Questions That Come Before the Decision
Boards keep being told to remake the business around AI. The real question is not which tool, but whether the work needs doing at all.

AI and the CEO: Choosing the Bets That Matter
AI can build, deliver, and draft, yet the chief executive still chooses and still answers. Accountability for the bets does not move.

AI and the CFO: Standing Behind the Numbers the Machine Produces
AI can run the close, sharpen the forecast, and operate out of sight, yet the CFO still signs. Accountability for the numbers does not move.

Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier
Quality tells the organisation whether data is reliable. Structure tells the machine what it means, and structure is where durable AI advantage is now decided.

Ethical AI: When the Model Imposes Values Your Organisation Did Not Choose
A foundation model arrives with a value system its provider built and the Board did not choose. The decision: accept it, reject it, or build.

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.

World Models: The Next Horizon in AI for Predictive Enterprise Intelligence
World models move AI from reacting to anticipating: systems that simulate future scenarios, with aviation and finance already seeing the operational gains.
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