AI Governance & Risk Framework for Regulated Industries
A governance framework for deploying AI in regulated environments — risk tiering, controls, human oversight, and audit evidence that holds up.
What's Inside
In financial services, healthcare, insurance, and the public sector, the question is never just "does the AI work" — it is "can we defend it." Defend it to a regulator, an auditor, a board risk committee, and a customer whose data it touched. This framework gives risk, compliance, and technology leaders a structured way to deploy AI without betting the licence. It covers tiering AI use cases by risk, the controls that belong at each tier, where human oversight is mandatory versus optional, how to generate and retain audit evidence as a by-product of the system rather than a scramble before an exam, and how to keep a defensible model and prompt inventory. It is deliberately practical and vendor-neutral — a working framework you can adapt to your regulator and risk appetite, not a survey of regulation. The goal is AI deployment that is both genuinely useful and genuinely defensible.
What You Get
- AI governance & risk framework (PDF)
- AI use-case risk-tiering matrix
- Controls library mapped to risk tiers
- Human-oversight decision guide
- Audit-evidence and model-inventory templates