Put AI to work with judgment.
For people deciding what AI should do in their organisation. Reflections and working materials with sources you can follow.
Who maintains the knowledge your AI uses?
A practical guide to reliable definitions, ownership and current knowledge, using a capacity-planning example and a small maintenance agreement.
Read
What an AI benchmark can tell a hospital
A high score answers a limited question. Choosing medical AI also requires understanding how people work with it and what happens when it is used.
ReadVerify AI outputs: sources, omissions and contradictions
A traceable review for summaries and decision briefs. Includes precise references, checks for missing information and two copyable working instructions.
Read
Evaluate AI pilots: quality, effort and value
A practical process for leaders: define one task, compare representative cases and count the complete effort required to produce a usable result.
ReadAI saves ten minutes. What happens next?
A faster task can ease the pressure on an organization. Someone still has to decide where the time saved should go and how the wider process needs to change.
Read
AI agents: define permissions and approvals
Which actions may an AI agent take? A guide to bounded assignments, technical permissions, approval points and verifiable execution.
Read
AI and early careers: how leaders can read conflicting employment evidence
US payroll data, a Danish study and an international task index answer different questions. A guide to interpreting them when making workforce decisions under uncertainty.
ReadWhat can we still do after AI has helped?
Two education studies show how strongly the effects of AI depend on the learning environment. They raise practical questions for clinical education and leadership development.
ReadWhen AI shares expertise: what should experienced professionals do?
A large customer-support study raises a leadership question: how can organisations share expertise while continuing to develop the capacity for new decisions?
ReadAn AI learning session that rehearses the next decision
An adaptable learning sequence for healthcare and business: form a judgement, use assistance, work through a new case and assess learning again later.
ReadWhen AI becomes unavailable: prepare for continuity and vendor exit
A guide for leaders to define minimum operations, identify dependencies and rehearse recovery using a fictional case. Includes preparation for a provider change.
ReadMaintaining shared AI instructions: test changes and preserve versions
A practical maintenance agreement for shared AI instructions: purpose, test cases, changes, approval and returning to an earlier version.
ReadWhen people and AI disagree: resolve the disputed decision
An adaptable procedure for organisational decisions: define the disagreement, check authoritative information and record the cause for future cases.
ReadEnding an AI initiative while preserving what was learned
How leaders can compare continuing, pausing, redirecting and ending an initiative, with clear next commitments and an orderly handover.
ReadThe responsibility behind an AI draft
Fluent writing can speed up the preparation of a document. It also changes the task of the person who takes responsibility for its contents.
ReadNo matching articles. Try another search term.
What should your event make possible?
Tell me about your audience, occasion and timing. We can shape a talk around the questions that matter to them.