Context: Maintenance cost ratio is not a finance problem in utilities, it is an execution signal that rises when work happens later than planned or crews revisit the same assets.

Challenges: Preventive maintenance gets deferred, work orders are incomplete, and field crews arrive without the right context or parts. Supervisors discover issues only after repeat truck rolls or outage escalations, quietly inflating the ratio before it appears in reports.

Solution: The Maintenance Cost Ratio Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors work orders and crew dispatch as execution begins to slip and intervenes during scheduling and dispatch decisions, flagging maintenance work headed for rework before reactive maintenance takes over.

Impact: Utilities adopting this approach see preventive work stay preventive and crews stop revisiting the same assets, with cost ratios falling not through cost cutting, but through discipline.