Oxmaint AI pushes predictive health scores, remaining useful life, and condition-based flags directly into SAP EAM asset records — turning static master data into living intelligence that prevents failures before they happen.
AI Health Scores · Failure Predictions · Auto PM Scheduling
Every asset gets a real-time health score (0-100%) based on sensor data, vibration, temperature, and maintenance history — pushed to SAP EAM automatically.
AI predicts failures 2-8 weeks early with remaining useful life estimates. Failure flags with timelines appear on SAP EAM records before breakdown.
When AI flags degradation, it auto-schedules PM in SAP EAM with recommended action, parts needed, cost estimate, and linked work order.
Oxmaint AI ingests vibration, temperature, pressure, and runtime data from your IoT sensors. It calculates a real-time health score for each asset and pushes it directly to the SAP EAM record.
Your SAP EAM records are no longer static. They reflect the actual condition of every asset — updated continuously by AI.
See Health Scoring DemoWhen Oxmaint AI predicts a compressor will fail in 18 days, your SAP EAM record already has the failure flag, recommended action, estimated cost, linked PM schedule, and reserved parts — before anyone opens SAP.
Your maintenance planner doesn't need to analyze data. AI did it. SAP EAM has the answer ready.
See Predictive PM DemoEvery maintenance event — labor hours, parts consumed, contractor spend, repair vs. replace decisions — feeds into the SAP EAM asset lifecycle record. AI adds cost projections and depreciation impact.
Your finance team gets accurate total cost of ownership per asset in SAP — driven by real field data, not estimates.
See Lifecycle Tracking DemoReal-time 0-100% health for every asset — pushed to SAP EAM automatically.
2-8 weeks early warning with remaining useful life on SAP EAM records.
Predictions auto-create PM plans with action, parts, and cost in SAP EAM.
Labor, parts, contractors — all posted to correct SAP cost centers per asset.
Direct connection via OData, RFC, BAPI, IDoc. No third-party platform needed.
Works with SAP ECC and S/4HANA — on-premise or cloud.
Everything you need to know about Oxmaint's SAP EAM integration.
AI health scores, remaining useful life estimates, failure prediction flags, condition-based maintenance triggers, recommended actions, estimated repair costs, and linked PM schedules — all pushed to SAP EAM asset records in real-time.
Oxmaint AI analyzes sensor data, vibration patterns, temperature trends, and maintenance history to generate a health score (0-100%) for each asset. When health degrades below threshold, a failure flag with remaining useful life is pushed to SAP EAM.
Yes. When AI predicts a failure, it auto-creates a PM schedule in SAP EAM with the predicted timeline, recommended action, required parts, and estimated cost — all before the failure occurs.
Yes. Maintenance costs, labor hours, parts consumption, and contractor spend are allocated to the correct SAP cost centers automatically based on the asset and work order.
No. Oxmaint connects directly to SAP EAM via standard APIs (OData, RFC, BAPI, IDoc). No middleware, MuleSoft, or third-party platform needed.
Yes. Oxmaint supports both SAP ECC and S/4HANA via OData and standard APIs. On-premise and cloud deployments are both supported.
Health scores, failure predictions, auto PM scheduling & cost allocation — all pushed to SAP EAM before failures happen.
Oxmaint AI is available on web, iOS, and Android.
