Context: In manufacturing plants including paper mills and packaging facilities, Unplanned Downtime and Recovery Time are core KPIs because they show how quickly operations respond when production is disrupted.

Challenges: An issue appears, but time is spent diagnosing, debating ownership, or re-checking the same information. Actions are delayed, duplicated, or partially completed, and the same incident patterns repeat not because causes are unknown, but because follow-through is slow and inconsistent.

Solution: The Downtime Recovery Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors fault signals as they appear on the line and intervenes during diagnosis and ownership assignment, flagging the next required action before recovery time compounds.

Impact: Plants following this approach see recovery steps begin before delays compound, with downtime coming down not because failures disappear, but because execution responds in time to restore production faster and more consistently.