Context: In the Public Sector, evidence-based policy percentage is not determined by how much analysis exists, but by when evidence enters the decision.

Challenges: Analysis is commissioned after positions begin to harden and insights are reviewed separately from drafting decisions, so by approval time evidence merely accompanies the outcome rather than shaping it.

Solution: The Policy Evidence Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors policy choices as they advance without validated evidence and intervenes before approvals are final, flagging assumptions overriding analysis before direction is locked in.

Impact: Public sector agencies adopting this approach see decisions incorporate proof while alternatives are still open, with outcomes strengthening through disciplined execution that brings evidence into the moment policy is actually set.