
Most AI governance fails the same quiet way — the validation passes, the policy PDF gets signed, and then nobody uses the tool. Or they use it once and stop. The framework was real on paper and theatre in practice.
I build these frameworks for a living, in GxP-regulated pharma, close enough to the regulators to know what the rules actually demand and close enough to the builders to know why most governance gets ignored. In 30 minutes I'll take apart one specific deployment with you — where adoption is leaking, where your controls are real versus performative, what a regulator will actually ask versus what you're over-preparing for.
Come with one concrete case. The more specific, the more you'll leave with. Vague questions get vague answers — that's physics, not me being difficult.