AI readiness is not a badge earned through adoption, training or pilots. It is a situated management judgement about a specific AI use, and a capability the organisation must be able to renew.

A worked example of defining AI authority, human decision rights and safe escalation in hospital care — following one patient from preoperative assessment through surgery, recovery, discharge and follow-up.

AI governance must move from generic policy to the deliberate design of what AI is allowed to see, decide and do inside real workflows — authority matched to consequence, evidence and containment.

Why organisations should redesign workflows before applying AI automation — start with the outcome, find the constraint, then decide what to eliminate, simplify, augment, automate or orchestrate.

A design hypothesis for general practice a decade from now, where artificial intelligence works quietly in the background so clinicians can give patients their full attention again.

Why healthcare's greatest AI opportunity lies not in automating documentation, but in augmenting decisions and building more capable systems.

Why alignment, not technology, is becoming the real bottleneck to AI value.

For most of human history, progress was limited by what we did not know. For example…