AI-Assured Asset Intelligence
Transform maintenance from reactive and preventive into predictive and prescriptive — using AI.
A complete intelligence layer for critical industrial assets. Predict failures before they happen, score asset risk in real time, and convert SAP, historian, and inspection data into action-ready maintenance decisions.
Predictive Maintenance Platform
Equipment failure prediction, early fault detection, work order recommendations, failure pattern recognition, and maintenance prioritization — fused from SAP PM, S/4HANA, PI System / AVEVA PI, SCADA, IoT sensors, vibration systems, thermal imaging, oil analysis, and operator rounds.
- Predicted failure date and risk score per asset
- Recommended maintenance action with financial impact
- Target assets: pumps, motors, compressors, conveyors, crushers, HVAC, gearboxes, turbines
Remaining Useful Life (RUL) Analytics
AI estimates remaining useful life, degradation rate, and probability of failure for every critical asset — driving capital, shutdown, spare-parts, and budget decisions.
| Asset | Health | RUL |
|---|---|---|
| Pump P101 | 92% | 18 months |
| Motor M205 | 65% | 5 months |
| Conveyor CV12 | 48% | 2 months |
Reliability Intelligence Suite
MTBF, MTTR, availability, OEE, failure frequency, repeat failures, and bad-actor identification — paired with AI insights on root cause trends, reliability growth, and criticality ranking.
- Mining
- Manufacturing
- LNG
- Ports
- Sawmills
- Food & Beverage
AI-Assisted Root Cause Analysis
AI reads SAP notifications, work orders, failure codes, and operator comments to surface likely root cause, similar historical incidents, and recommended corrective actions.
Asset Health Index
Every asset receives a composite health score — Healthy, Watch, Plan Action, or Critical.
| Parameter | Weight |
|---|---|
| Condition Monitoring | 30% |
| Maintenance History | 20% |
| Failure Rate | 20% |
| Age | 15% |
| Production Impact | 15% |
Prescriptive Maintenance
AI recommends what maintenance to perform, when, which crew is required, spare parts needed, and estimated cost — fully integrated with SAP PM.
Digital Twin & Asset Performance
Digital twins for critical assets — pumps, compressors, production lines, lock gates, cranes, mining equipment — enabling simulation, performance optimization, and failure scenario analysis.
Service Delivery Phases
- Phase 1 — Assessment: asset criticality, SAP PM maturity, data quality, reliability review
- Phase 2 — AI Foundation: SAP PM & PI integration, data lake setup, dashboards
- Phase 3 — Predictive Deployment: AI models, failure prediction, RUL, health index
- Phase 4 — Reliability Excellence: reliability engineering, bad-actor elimination, PM optimization