Resources
Practical material on governing AI, running digital change and delivering it. Written for people who have to make the decision, not for people studying the topic. No sign-up, no gate.
Treating AI as a board-level responsibility rather than an IT function: the actions that establish oversight, and the red flags that show it is missing.
The oversight questions that separate a board informed about cyber risk from one that only hears about it after an incident.
What executives are accountable for when data moves through systems they did not build, and how to tell whether that accountability is being met.
The governance actions that keep a transformation program honest, and the signals that it has become activity rather than change.
What a leader needs to understand about the technology their organization runs on, stated without jargon and without requiring an engineering background.
Using AI to strengthen structured problem solving rather than replace it, and the judgment it cannot supply for you.
A 2025 piece on working with these tools, edited for style, with a note on which parts have dated and which have not.
Deciding well when the future is unclear, and what changes when the capability you are deciding about keeps improving whether or not you act.
Building scenarios that make strategy stronger, and why most AI scenario work picks the wrong uncertainty to build on.
Seeing whole systems rather than isolated events, and why AI is unusually good at producing second-order effects nobody planned.
Leading organizational change, and why resistance to AI change is rational rather than a communication problem.
Connecting change to measurable value, and why the benefit an AI tool produces is usually time, which is not money until somebody decides what the time is for.
A practical checklist for planning, running and following up a meeting that produces decisions rather than notes, and what AI note-takers change about it.