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Article
AI begins transforming governance inside model risk management
Financial institutions are beginning to embed artificial intelligence into model risk governance to improve oversight, documentation, and monitoring. Suresh Sankaran of NatWest argues that the real opportunity lies in practical applications that enhance transparency and traceability while maintaining strict human accountability and regulatory confidence.
Mar 12, 2026
Suresh Sankaran, Prudential Regulation Lead, NatWest
Tags:
AI and Technology (including Fintech)
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 increasingly used
to improve model inventory management and documentation oversight
- Natural language
processing helping banks analyze large volumes of model documentation
- AI tools identifying
gaps, inconsistencies, and metadata across model portfolios
- Portfolio risk
mapping allowing institutions to identify concentrations and dependencies
- Human oversight
remains essential through controlled human in the loop frameworks
- Governance controls
include citations, workflow approvals, and change management
- AI monitoring tools
detecting model drift and anomalies in near real time
- Monitoring systems
must connect alerts to clear governance responses
- Future tools expected
to deliver evidence native governance with audit ready documentation
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