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AI-Driven Compliance Monitoring, Governance and the Future of Integrated Oversight
Suresh discusses the practical realities of implementing AI-driven compliance monitoring, highlighting the importance of strong data governance, human accountability and explainable AI. He explores current and future use cases for AI within regulatory monitoring, controls testing and assurance activities while outlining where organisations should remain cautious when relying on automated decision-making.
Sep 23, 2026

Suresh Sankaran, Prudential Regulation Lead, NatWest Group
Tags:
Operational and Non Financial Risk
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
- Operational and cultural barriers remain the biggest challenge in AI-driven continuous monitoring.
- AI delivers immediate value in surveillance, horizon scanning and regulatory reporting.
- Human judgement remains essential for complex compliance decisions.
- Governance, auditability and explainability are critical to trusted AI outcomes.
- AI will enable more integrated oversight models across risk, compliance and assurance functions.
- The future of governance is human-led, AI-augmented oversight.
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