Articles
AI strategy and governance, explained plainly.
Practical guides for the leaders accountable for getting AI right: what AI governance actually involves, how to write a policy people follow, and how to build a strategy that isn't a list of pilots.
01AI governance
What is AI governance? A practical definition for leaders
AI governance is how an organization decides which AI uses are allowed, who owns the risk and where people check the output. A practical definition.Read →
What to put in an AI acceptable use policy (free one-page template)
An AI acceptable use policy should fit on one page: allowed, restricted and prohibited uses, approved tools, human review and an owner. Free template.Read →
NIST AI RMF, ISO 42001 and the EU AI Act: what each asks of you
NIST AI RMF, ISO/IEC 42001 and the EU AI Act compared in plain language: what each is, who it applies to, and one set of controls that serves all three.Read →
02AI strategy
Why AI pilots fail, and how to design the failure out
AI pilots stall for predictable reasons: tool-first thinking, no baseline, governance bolted on, adoption assumed. How to design each failure out early.Read →
How to build an AI strategy that isn't a list of pilots
An AI strategy is a mandate, not a list of pilots. Write the ambition, name one owner and rank the first problems, all on one page. A practical guide.Read →