Context: Asset Utilization is a core Oil & Gas/Energy KPI because it shows how much installed capacity is actually converted into productive output across fields, facilities, and cycles.

Challenges: Operational signals appear early — rising vibration, pressure imbalance, throughput mismatch — but decisions follow later. Maintenance is triggered after capacity drops, and rerouting is approved once bottlenecks are already visible.

Solution: The Asset Utilization Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors live operational signals as conditions shift and intervenes during routing, maintenance scheduling, or production sequencing, flagging decisions that would cost capacity before the window to act closes.

Impact: Operators adopting this approach see higher sustained utilization and more stable throughput, with assets staying productive because actions are taken early, consistently, and in context.