What AI agents for compliance should (and shouldn't) automate

Compliance is a hard place to deploy AI. Regulations differ by country and change constantly, and AI isn't deterministic the way traditional software is. Lewis Chung, agents lead at Persona, explain how we build AI agents for compliance by: testing agent behavior with evaluations on domain-specific datasets until errors are negligible in production, automating simple low-risk decisions, and keeping people in the loop for high-stakes or ambiguous calls like freezing a customer's account. In those cases, the agent does the exhaustive research and presents it so a human can decide quickly.

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