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Article
AI Cannot Fix a Broken Risk Assessment
Generative and agentic AI could transform risk and control self-assessments from periodic compliance exercises into dynamic risk management tools. But financial institutions must first improve processes, controls and data, with risk leaders warning that automating a weak framework will simply make its weaknesses operate faster.
Sep 21, 2026
Center for Financial Professionals ,
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 can enhance RCSAs
but cannot compensate for weak processes, controls or data
- Traditional RCSAs
remain time intensive, subjective and too often treated as compliance
exercises
- Risk leaders see
potential for trigger-based, data-driven and eventually dynamic
assessments
- Data access, security
and internal processes can be greater barriers than technology
- AI can already reduce
manual control documentation and support risk analysis
- Fully agentic RCSAs
require more automated controls and mature underlying risk frameworks
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