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AIOct 30, 2025·6 min read

AI Copilots for Risk Teams: What Actually Works in Production

Not every workflow benefits from an LLM. A candid look at where AI copilots are pulling weight — and where they're theater.

SW

Sam Whitfield

Head of AI

AI Copilots for Risk Teams: What Actually Works in Production

After 18 months of shipping AI features into risk workflows, a pattern has emerged: the wins are narrower — and deeper — than the demos suggest.

Where Copilots Win

  • Summarizing long vendor responses into reviewer-ready notes.
  • Drafting follow-up questions from a partial answer.
  • Mapping new framework language to existing control libraries.

Where They Don't

Anything that requires ground truth the model doesn't have — pricing, contractual terms, jurisdictional nuance — still needs a human in the loop. The right question is not 'can AI do this' but 'what does the reviewer no longer have to do'.

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