Where industrial AI can earn trust
Common use cases include visual inspection, anomaly detection, predictive maintenance, process-window monitoring, tool-life support, quoting assistance, scheduling, document extraction and demand intelligence. The business case should state the decision, baseline, error cost, response time and human owner before a model is selected.
Data readiness before model selection
Map source systems, timestamps, identifiers, sampling, missing data, label quality and the difference between planned and actual production. Avoid training on outcome leakage or on data that will not exist when the model runs. Preserve machine, part, revision, tool, shift and quality context so an alert can be investigated.
Human oversight and operating boundaries
Define who can accept, override or escalate an output; how uncertainty is shown; what happens when the data feed fails; and which decisions remain prohibited. High-impact recommendations need traceable inputs, versioning, monitoring and a rollback path.
Measure production value
Compare against a real baseline: false accepts and rejects, unplanned downtime, mean time to repair, schedule adherence, quote time, yield, scrap or conversion. Pilot results should separate model accuracy from workflow adoption and from changes caused by other process improvements.
Questions manufacturers ask
Is industrial AI the same as machine learning on sensor data?
No. Industrial AI can include vision, language, optimization and rules, but value comes from the controlled decision workflow.
Can AI replace inspection?
It may automate or prioritize inspection, but the acceptance method must still meet the drawing, contract, quality system and customer requirement.
What is the first governance artifact?
A one-page use-case record naming the decision, owner, data, limits, performance measure, escalation and rollback path.
Primary sources and further reading
MBB uses these sources for general process and safety context. A link is not an endorsement, affiliation or substitute for current manufacturer documentation.