Context: Operating cost per ton in mining reveals how well operational choices stay aligned as work unfolds, not simply a reflection of efficiency targets or cost controls.

Challenges: Throughput slows before maintenance is reprioritized, congestion forms before load plans adjust, and energy and labor intensity rise during the shift while action waits until reports are reviewed later.

Solution: The Cost-per-Ton Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors downtime and energy use patterns as they emerge and intervenes during operations decisions, flagging throughput constraints before unit cost inflates.

Impact: Mining operators adopting this approach see variability absorbed deliberately, with cost improving as a consequence of disciplined execution because choices are made on time with clear ownership.