What AI Actually Brings to Maintenance
Artificial intelligence does not replace the technical team; it gives them an early warning based on historical patterns.
The better the data quality, the better the prediction accuracy and the effectiveness of preventive decisions.
Data Types That Strengthen Prediction
Strong results don't come from a single source. Combining several sources produces a sharper picture of breakdown probability.
- Maintenance history and spare parts
- Daily operating hours
- Recurrence of the same fault type per asset
- Site conditions and load profile
A Realistic Start Without Technical Complexity
Begin with simple alert states (high / medium / low) and link them to clear actions for the team.
Over time, the analytical model can be refined based on the results actually achieved.