Context: In the Public Sector, equity metrics do not move because of statements of intent, they move based on how consistently decisions are applied as work is carried out.

Challenges: Eligibility criteria are interpreted case by case and interventions are introduced late in the process, with policy, operations, and oversight each playing a role but coordination lagging, so disparities are already embedded in results by the time metrics are reviewed.

Solution: The Equity Execution Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors inconsistent handling and delayed intervention as they emerge and intervenes during case decisioning, flagging gaps against defined thresholds before differences widen.

Impact: Public sector agencies following this approach see decisions follow the same standards and interventions occur earlier, with progress achieved through disciplined execution rather than declarations or reports.