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Hawk Outlines Framework for Governing Agentic AI in Financial Crime Investigations
Hawk and Oliver Wyman have taken the existing supervisory principles for traditional AI and extended them for agentic – thus giving FIs a framework for safe implemention. Key points:
- How to extend existing model risk management guidance – including OCC, the Wolfsberg Group, and FATF principles – to agentic systems
- A dual-lens materiality framework separating inherent business risk from design-controlled factors like autonomy and tool access
- The enterprise agent assurance layer needed to register, test, observe, challenge, constrain, and stop every material agent
- A decision-rights ladder mapping agent autonomy to the human approval and oversight each tier requires
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