In 2009, a surgeon named Atul Gawande and a team backed by the World Health Organization showed that a 19-item surgical checklist could cut complications and deaths by dramatic margins across eight hospitals worldwide. Not a thousand-page protocol. Not a comprehensive framework. Nineteen items, printed on a single card. Aviation learned the same lesson decades earlier: the pre-flight checklist fits in a pilot’s hand, not in a binder. Nearly two decades later, I watch security teams send AI vendors questionnaires with 300 questions, half of which begin with “describe your approach to…” and almost none of which would catch a real failure. We have the frameworks. What we don’t have is the checklist.
The timing matters. The EU AI Act’s enforcement teeth for general-purpose AI arrive this August, high-risk obligations are phasing in behind them, and ISO/IEC 42001 is now showing up by name in third-party risk questionnaires. NIST’s AI Risk Management Framework has become the default answer for “show me you have an AI risk program” in North America. Add the OECD Principles, HITRUST’s AI assurance work, sector regulators like the FDA, and a growing patchwork of US state laws, and most enterprises are now operating under two or more frameworks simultaneously.
