Case Study
Cuts SAP PM work-order creation from about 20 minutes to under 2 minutes with approval, improving maintenance capture across 5 factories.
Maintenance teams often work across fragmented histories: prior notifications, work orders, free-text notes, equipment context, and master data that all need to be checked before drafting the next action.
The operational problem is rarely just prediction. It is the repeated effort of finding the right historical context quickly enough to support triage, consistent record-keeping, and better work-ticket drafting inside an enterprise workflow.
We frame the system around the workflow first: what information the planner or engineer needs, which records are trustworthy, and where human review must stay in place.
The copilot combines historical maintenance knowledge with structured asset context to support drafting and triage without taking control away from the maintenance team.
Cuts SAP PM work-order creation from about 20 minutes to under 2 minutes with approval, helping teams record more minor maintenance events.
Production-focused stack for retrieval, validation, API orchestration, and controlled deployment.
Let's discuss maintenance intelligence in the context of your current workflow, records, and review requirements.
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