Context: In Insurance, fraud detection rate reflects whether risk is acted on while exposure is still containable, across Life Insurers, P&C carriers, and Reinsurance & Brokerage firms — not just analytical accuracy.

Challenges: Risk signals surface across submissions, endorsements, and claims events, but ownership is split between underwriting, claims, and SIU teams. Alerts are reviewed after transactions complete, and by the time action is taken, financial and reputational loss is already embedded.

Solution: The Fraud Risk Guidance Agent, an AI agent built using Microsoft Copilot Studio, intervenes during submission intake, policy changes, and claims progression, evaluating risk signals in context and guiding a clear action — proceed, step-up review, or block — before exposure compounds.

Impact: Insurers following this approach see fraud outcomes improve as teams prevent instead of investigate, with decision latency collapsing and loss curves flattening.