Context: In the Public Sector, fraud rate reflects how effectively institutions intervene while risk is still forming, not just how well wrongdoing is detected after the fact.

Challenges: Small anomalies surface across transactions, claims, or accounts and cases wait in review queues as responsibility shifts between teams, so exposure widens before delay turns manageable risk into material loss.

Solution: The Fraud Prevention Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors risk indicators as they cross action thresholds and intervenes during access and case ownership decisions, flagging persistent anomalies while options remain available.

Impact: Public sector agencies adopting this approach see actions taken while exposure is still limited, with prevention improving through disciplined execution that keeps pace with emerging risk.