AI is most useful in a plant when it reduces uncertainty around a real engineering decision. Start with the decision, not the algorithm.
Start with the decision
Choose a measurable outcome: earlier fault detection, less manual inspection, faster troubleshooting or better information access.
Where AI fits
Pattern-heavy problems such as multivariate anomaly detection, vision inspection, predictive maintenance and technical-document retrieval are natural candidates.
Where deterministic logic wins
Interlocks, permissives, safety functions and time-critical control logic should remain deterministic. AI can advise; it should not quietly become the control authority.
The engineering test
Compare the AI-assisted process with the current process. Fewer false alarms, less inspection time, lower downtime or faster diagnosis are measurable results.
Final takeaway
The engineering value comes from a measurable improvement, explicit boundaries and a design that remains understandable when the system is under pressure.