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AI reshapes model risk governance as banks seek real control
Banks are embedding AI into model risk management, using automation to improve inventory, monitoring, and governance while maintaining strict oversight. Suresh Sankaran emphasizes that transparency, traceability, and human accountability will define successful adoption.
Apr 16, 2026
Suresh Sankaran
Suresh Sankaran, Prudential Regulation Lead, NatWest
Tags: Model risk
AI reshapes model risk governance as banks seek real control
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
  • AI delivering immediate value in model inventory management and risk mapping
  • Automation improves documentation consistency and reduces manual effort
  • Governance remains central with human oversight and accountability required
  • Monitoring tools must drive action rather than create dashboard noise
  • Future tools will focus on traceability explainability and audit-ready outputs 
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