MyMaintAI.

MyMaintAI is MYGO's predictive maintenance product for SAP Plant Maintenance (PM) and Enterprise Asset Management (EAM). It analyzes sensor data, maintenance history, and operating conditions to predict equipment failures before they occur, reducing unplanned downtime by 40%.

Standard SAP PM uses time-based or counter-based schedules: maintain every 90 days or every 1,000 hours regardless of actual condition. MyMaintAI uses condition-based monitoring and AI pattern recognition to trigger maintenance only when the data indicates a failure is developing, reducing both unplanned downtime and unnecessary maintenance activities.

MyMaintAI ingests vibration, temperature, pressure, current draw, and other condition-monitoring signals from IoT sensors and SCADA systems. It combines these with SAP PM maintenance history and equipment master data to build failure prediction models specific to your asset fleet.

Yes. When MyMaintAI detects a developing failure pattern, it generates a condition-based work order in SAP PM with the predicted failure mode, recommended repair actions, and estimated time to failure. Maintenance planners can approve and schedule the work order through their standard SAP workflow.

MyMaintAI delivers the highest ROI in asset-intensive industries where unplanned downtime is costly: manufacturing, oil and gas, utilities, mining, and chemical production. Any organization running SAP PM or EAM with critical rotating equipment, process lines, or distributed asset fleets is a strong candidate.