A Practitioner Checklist
For compliance and TPRM leaders who need to know exactly where human judgement must stay in the loop, and how to prove it when a regulator asks.
In under four years, technology has moved from sanctions and PEP screening, to tools handling unstructured case data, to generative AI drafting memos, to agentic systems now executing parts of the workflow itself. This checklist helps you know where human judgment needs to stay anchored as that layering continues, and how to prove it when a regulator asks.
What You’ll Learn:
This checklist translates into questions you can ask of your own programme and your vendors:
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The five accountability anchor points every AI-supported due diligence process needs.
- Where AI should stop and human judgment should start.
- What “audit-ready” actually looks like in practice.
- How to tell the difference between productivity-enhancing AI use and judgment-augmenting AI use, and why conflating the two creates governance blind spots.
- How to test your programme against the major frameworks converging on this issue.
Authors:
Ceri Lawley – Chair, Advisory Council
The accountability anchor points, convergence principles and use cases referenced here are drawn from: Coalition for Integrity, in collaboration with Clifford Chance, AI in Corporate Integrity and Compliance: Use Cases, Governance and the Role of Human Judgement (C4I White Paper Series, May 2026). Used with permission.
For further insights, read the whitepaper AI in Corporate Integrity and Compliance (May 2026), led by Ceri Lawley. Please click here to access the full publication.
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