How AI fits into factory operations.
Choose a specific decision to support, then decide whether AI is the right tool for the job.
Name the decision first
Start by asking what a person needs to decide, and what information would help. Reviewing an inspection image, finding a relevant work instruction, and summarizing a shift report are different tasks. Each needs its own definition of a useful result.
A clear rule or a better connection between existing systems may solve the problem without AI. Comparing those options early keeps the project focused on the work rather than on a preferred technology.
Make review part of the workflow
Decide who checks a suggestion and what they can do if it is incomplete or wrong. A result should arrive with enough context for someone to understand it. Keep the original record available and make corrections easy to capture.
Try examples that reflect real working conditions, including unusual cases. A successful demonstration on a few selected inputs does not establish that the system is ready for every situation.
Improve from actual use
Agree on what to review after launch: useful suggestions, mistakes, time spent checking results, and cases that still require manual work. Give operators a simple way to record those observations.
Use that evidence to decide what to change. The aim is a better-supported decision, with responsibility still clear to the people doing the work.