Context: In mining, maintenance cost ratio is shaped by how well execution protects assets while production is underway, not by how aggressively budgets are managed.

Challenges: Deferred servicing, repeated minor repairs, and manual workarounds keep equipment running just long enough to finish the shift, with each decision feeling practical in isolation until the work itself becomes more expensive by the time ratios are reviewed.

Solution: The Maintenance Cost Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors equipment stress and deferred work exposure as they accumulate and intervenes during servicing and load adjustment decisions, flagging repeat intervention patterns before excess cost becomes structural.

Impact: Mining operators adopting this approach see assets maintained deliberately rather than reactively, with costs falling because execution decisions preserve equipment health while production is still in motion.