AI Maintenance Copilot for a Plant Floor
A copilot on tablets that answers technicians' troubleshooting questions from the equipment manuals and ten years of work orders, with sources.
Fault diagnosis depended on a few senior technicians. When they were off shift, repairs took far longer, and manuals were scattered across PDFs and binders.
The approach.
- 01Indexed manuals, schematics references and historical work orders per machine.
- 02Built a tablet interface that answers questions with cited steps.
- 03Logged each fix back into the CMMS, so the knowledge base grows.
- 04Ran fully on the plant's own network for sensitive equipment data.
Claude answers a technician's question with likely causes and steps, citing the manual page and similar past work orders.
How we measure it.
Repair time and first-time fix come from the CMMS, compared with the previous two quarters on the pilot line. Downtime avoided is estimated from the reduced repair time.
Before you ask.
It needs a network connection to the plant's systems. Beyond Technologies can deploy it within the plant's own cloud tenant.
No. Lockout and safety procedures are always included in its answers, and it never suggests skipping them.
Want this measured on your own data? Start with a pilot.
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