Insights

Practical thinking on enterprise AI.

Governance, regulation and operating-model perspectives for leaders deploying AI across EMEA.

AI Operating Model

Why Most AI Pilots Stall Before Production, and the Operating-Model Fixes That Unblock Them

Pilots rarely fail on technology. Learn the operating-model gaps that stall AI before production and the practical changes that move it into live service.

AI Strategy

Prioritising Enterprise AI Use Cases: Scoring That Survives Scrutiny

A practical method for scoring AI use cases on value, feasibility and risk, so your portfolio decisions hold up before the board, audit and regulators.

AI Governance

The AI Governance Gap: The Questions Boards Are Not Yet Asking

More than 1,100 AI insiders have called for mechanisms to pause development. What that signal means for boards, and the governance questions to ask now.

AI Governance

Human-in-the-Loop Is Not Oversight: Designing Governance for Agentic AI

Approval queues are not governance. Why boards must set autonomy boundaries and escalation thresholds for agentic AI by design, not by review.

AI Governance

Article 50 Is Already Live: The EU AI Act Deadline Boards Assumed Had Moved

Parts of the EU AI Act were delayed, but Article 50 transparency duties were not. Here is what boards and technology leaders should check now.

AI Governance

AI Tokenomics Is a Risk Governance Problem, Not a Cost Line

AI spend is compounding faster than the governance around it. Here is how boards and risk functions can connect token consumption to business value.

AI Governance

Governing at Machine Speed: Why Quarterly Board Oversight Falls Short for Real-Time AI

Quarterly reporting documents what AI has done; it cannot control what AI is doing. Here is how boards can build governance that keeps pace with execution.