AI for Production, Operations and Maintenance
Processes, use cases and architecture
RAG over manuals and procedures, draft maintenance reports and failure-history analysis. Predictive maintenance requires reliable signals, labelled events and time-based validation. An LLM can help write reports; it does not replace detection models or safety instructions.
Required data and applications
Maintenance system, equipment master data, work orders, available sensor data, versioned manuals and operating constraints. Account for field connectivity and degraded operation.
Human accountability and limitations
Search time, report quality, false alerts and availability. Technicians confirm actions and maintenance managers approve schedules. Safety-critical instructions must not be executed solely on an assistant’s suggestion.
Measuring benefits
The pilot compares a baseline with the target process on representative cases. Business owners define quality thresholds and the right to revert to manual processing before launch.
Bringing the right expertise together
FAQ
How can AI be integrated into an ERP?
Define a specific task, assess data and APIs, separate reads from writes, then test a connector with restricted permissions. Consequential writes and decisions require approval, logging and rollback.