Predictive maintenance powered by AI.
Sensor data integration with AI anomaly detection that predicts failure before it happens — feeding maintenance status directly into Safety's convergence detection and Quality's root cause analysis.
Complete maintenance management.
Work Orders
Request → Approve → Plan → Schedule → Execute → Close. PM, corrective, emergency.
Asset Management
Registration, criticality classification, status tracking, full maintenance history.
Preventive
Time, meter, and condition-based PM triggers. Auto-generated work orders.
Predictive
Vibration, thermal, oil, ultrasonic sensors. AI anomaly detection → auto work orders.
Spare Parts
Inventory tracking, reorder alerts, usage history linked to work orders.
Downtime
Planned/unplanned logging, cause categorization, cost calculation, AI patterns.
Failure Analysis
RCFA initiation, investigation, root cause, corrective actions, prevention.
MTBF / MTTR
Trending with AI prediction. Equipment reliability scoring.
Shutdown Mgmt
Planning, work packages, contractor coordination, turnaround tracking.
Maintenance data powers every department.
→ Safety
Overdue PMs feed Convergence Engine as risk factor. Triggers proactive intervention.
→ Quality
Root Cause Engine checks maintenance status when quality spikes. Surfaces connection instantly.
→ Production
Equipment availability feeds OEE. Predictive alerts trigger schedule adjustments.
→ Finance
Costs roll up to cost centers. Spare parts sync with inventory valuation. CapEx informed by failure trends.