Context: Revenue per capita in the public sector reflects how effectively limited capacity is applied to the activities that actually generate value.

Challenges: High-value cases are engaged late, fee and recovery actions lag eligibility signals, and frontline staff spend disproportionate time resolving issues that should have been prevented earlier, so capacity is spent before opportunities to influence results have passed.

Solution: The Revenue Productivity Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors effort misalignment as capacity drifts toward low-impact activity and intervenes during prioritization decisions, flagging where focus should redirect before resources are irreversibly consumed.

Impact: Public sector agencies adopting this approach see teams act on the right work at the right moment, with outcomes improving through disciplined execution and timely focus rather than increased workload.