Context: In the Public Sector, audit finding count is less a measure of compliance posture and more a reflection of how work is executed over time.

Challenges: Control activities are deferred to later checkpoints and evidence is assembled close to deadlines, with no one clearly accountable for resolving exceptions early, so deviations have already become routine by the time auditors examine the process.

Solution: Audit Risk Reduction Agent, an AI agent built using Microsoft Copilot Studio, monitors missed controls and delayed evidence as they occur and intervenes during control performance and documentation, flagging threshold breaches before audit review.

Impact: Public sector agencies following this approach see controls performed when required and exceptions resolved early, with finding counts falling because execution stays aligned with intent throughout the cycle.