Context: In the Mining industry, safety incident frequency is shaped before an incident ever occurs, reflecting whether risk is actively managed as work progresses rather than how well events are documented afterward.

Challenges: Near-misses repeat, fatigue builds, and process deviations emerge incrementally, with response often depending on manual escalation, shift handovers, or routine checklists, so the opportunity to prevent the incident narrows by the time action is taken.

Solution: The Safety Execution Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors leading indicators across shifts and locations as risk thresholds are approached and intervenes during ownership and correction decisions, flagging recurring near-misses and fatigue patterns before work continues.

Impact: Mining operators adopting this approach see teams respond earlier with current conditions in view, with incident frequency declining because execution intervenes before harm occurs rather than through heavier reporting.