Factory AI CMMS Integration

Factory AI’s native connectivity is designed for its own predictive monitoring use case, getting sensor and historian data into its anomaly detection models. Rayven handles the other direction: getting Factory AI’s outputs (alerts, work orders, costs, inspection records) into your ERP, finance system, production scheduler, compliance platform, and analytics tools automatically. That’s the connectivity gap Factory AI doesn’t address.

Yes. Rayven supports bidirectional integration with SAP S/4HANA, SAP PM, Oracle NetSuite, Microsoft Dynamics 365, and other major ERP platforms. Work order costs, parts usage, and labour hours can flow from Factory AI into your ERP automatically, and ERP-side events (such as purchase orders or inventory alerts) can trigger actions inside Factory AI.

Yes. Rayven aggregates Factory AI data from multiple site deployments into a single unified operational view, normalising asset health statuses, alert histories, and work order performance across all sites. This is something Factory AI’s own reporting doesn’t currently provide natively.

Factory AI’s anomaly detection is trained on the sensor data it monitors directly. Rayven can deploy additional ML models that combine Factory AI’s maintenance history with data from other sources, production throughput, ambient conditions, ERP demand signals, upstream supply data to identify failure correlations that Factory AI alone cannot detect.

Yes. This is one of the most common use cases. Rayven can respond to a Factory AI alert by simultaneously triggering a spare part check in your procurement system, notifying a planner in your ERP, updating your production schedule, and logging a regulatory activity record, all without a human coordinator in the loop.

Rayven maps Factory AI’s work order data, labour hours, parts consumption, and contractor costs to the relevant cost centres and cost codes in your ERP or finance platform. That mapping is configured once; from then on, every closed work order in Factory AI writes its cost data automatically into finance without any manual export or re-entry.

Yes. Rayven can connect legacy OT assets, older PLCs, non-standard protocols, and site historians to the broader data environment, making their condition data available to Factory AI for contextualisation and to other systems for reporting. This doesn’t require Factory AI to natively support those assets.

Yes. Inspection outcomes, safety check completions, and asset certification records from Factory AI’s Prevent module can be automatically written to your compliance platform or document management system, removing the manual evidence-gathering that typically falls to reliability engineers before audits.

Most Factory AI integration projects are live within a few weeks. Rayven’s team handles the connection mapping, configuration, and testing, working around your Factory AI setup and live production environment without disrupting either.

No. Rayven connects to Factory AI via its API and data layer without requiring changes to your Factory AI setup, sensor configuration, or existing Predict and Prevent workflows. Your Factory AI deployment continues as normal; Rayven adds the surrounding connectivity layer.

Yes. Rayven can build multi-site reliability dashboards, shift handover views, executive performance summaries, and custom KPI boards, all drawing on live Factory AI data combined with production and ERP information, displayed in whatever format best suits each audience.

Factory AI’s reporting is scoped to its own maintenance and asset health data. Rayven’s analytics layer combines that with your production data, ERP records, and operational metrics, giving reliability and operations leaders a combined view of how maintenance performance is affecting production output, cost, and asset lifecycle, across all sites.