Guide
For people deciding what AI should do in their organisation. Reflections and working materials with sources you can follow.
Can simulated customers support your next product decision?
An AI model can generate a thousand plausible answers. A short evidence brief helps assess which product decision those answers can actually support.
Read
Does the next AI customer fit your development plan?
New commitments occupy the people who should improve the product. A calendar calculation makes onboarding, recurring delivery and deferred development visible before acceptance.
Read
When may AI-assisted literature screening stop?
Finding few new relevant records is insufficient justification. How specialist teams and leaders can preserve what was assessed, what remains open and which decision a briefing may support.
Read
Comparing AI offers: what counts as a billable outcome?
A price per outcome requires a precise definition. How purchasing and operational teams can compare billable units, accepted cases and the work that remains.
Read
When only one person can maintain your AI tool
How to assess whether a colleague can maintain an internal AI tool: rehearse tasks, record the support required and transfer a defined scope of responsibility.
Read
After an AI keynote: which follow-up is worth commissioning?
A guide for event organisers: commission a suitable follow-up, assign responsibility and assess reach, learning and workplace application separately.
Read
Who can actually use your AI voice service?
A fluent answer does not establish who can use a voice service. Examine languages, ways of speaking, abandoned attempts and whether the alternative communication route actually works.
Read
When AI changes: what must be checked before renewed release?
Models, sources and tools change. A practical approach to identifying which prior commitments still hold and who authorises continued AI use.
Read
AI sovereignty: who can actually change the system?
How hospital, pharmaceutical and medical technology leaders can examine powers over data, model changes and administration, using current European sources and a fictional example.
Read
Prepare an AI talk around your audience’s decisions
A guide for organisers: define the audience, decision and format, distinguish scientific claims, and discuss accessibility, recording and medical education recognition early.
Read
Five questions about an AI claim: TrialGPT for pharmaceutical leaders
What 42.6% less screening time means, and the five questions pharmaceutical leaders should answer before turning that claim into an investment.
Read
Before your AI pilot, decide what would make you stop
Agree interruption rules, sufficient evidence and the next decision before an AI pilot. Includes a 20-page booklet with fillable working pages.
Read
Verify AI outputs: sources, omissions and contradictions
A reproducible source exercise demonstrates five planted errors, two omissions and an unresolved discrepancy in the primary paper. Two working instructions help structure your own review.
Read
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
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.
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
An 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.
Read
When 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.
Read
Maintaining 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.
Read
When 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.
Read
Ending 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.
Read
Buying or building AI: the complete cost calculation
A fully hypothetical worked example includes integration, review, corrections, operation and exit. Inspect the assumptions and the costs that can change the decision.
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.