CAFMTEK AI Capabilities
Start here to understand what CAFMTEK is, what it includes, and how it relates to other HITEK AI products such as Maestro FM and BMSTEK.
CAFMTEK’s AI modules use live data from BMS, smart meters and sensors, together with maintenance history, to detect faults, predict equipment failures and recommend maintenance intervals.
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- Fault Detection and Diagnostics (FDD) Fault Detection and Diagnostics (FDD) is a CAFMTEK module that monitors HVAC and electrical assets using data from building management systems, smart meters and sensors. When a reading breaches a set threshold, FDD raises an alarm, creates a work order, assigns it to a technician with the right skills, and closes the alarm once the fault is resolved. Fault detection and diagnostics is built into CAFMTEK as standard, not sold as a paid add-on.
- Predictive Maintenance and Anomaly Detection CAFMTEK's predictive maintenance uses machine learning to calculate a failure probability score for HVAC assets and alerts teams when the score passes a set threshold. Its anomaly detection compares live readings from electrical distribution boards against learned expected ranges, flags deviations and shows which parameter caused each anomaly. Predictive maintenance and anomaly detection are built into CAFMTEK as standard, not sold as a paid add-on.
- Suggested PPM Intervals Suggested PPM intervals is a CAFMTEK AI capability that compares each asset's planned preventive maintenance (PPM) schedule with its fault history. When an asset has few or no failures over a long period, CAFMTEK recommends a longer maintenance interval. When failures increase, it recommends a shorter one. Suggested PPM intervals are built into CAFMTEK as standard, not sold as a paid add-on.