Context: In the Public Sector, unclaimed benefits are rarely the result of low awareness, they occur when execution fails to convert eligibility into action.

Challenges: Eligibility is identified late, communications arrive out of context, and claim steps span multiple hand-offs with no single owner accountable for completion, so the benefit window closes before performance is even reviewed.

Solution: The Benefit Execution Optimizer Agent, an AI agent built using Microsoft Copilot Studio, monitors eligibility triggers and approaching expiry as they emerge and intervenes during claim follow-up decisions, flagging stalling claims before hand-offs delay completion.

Impact: Public sector agencies adopting this approach see ownership become explicit and actions occur within defined windows, with outcomes improving through timely, coordinated execution rather than more communication.