Shop-Floor Knowledge That Doesn’t Retire
A 200-person manufacturer running two shifts, with decades of process know-how, proprietary formulas and an ISO 9001 quality system.
The most experienced operators and maintenance techs are a few years from retirement, and what they know lives in their heads, binders and old shared drives. New hires wait for someone to answer every question. Engineers want AI to help, but the process specs and formulas are the company’s competitive edge, and they can’t go into a public tool.
Formulas, process specs and supplier pricing stay on the box in your plant. Nothing is sent to a cloud AI service.
- Operators: “What’s the changeover procedure for line 3?” answered from the current work instruction, with the source cited
- Maintenance: equipment manuals and past repair notes searchable when a machine goes down at 2 a.m.
- Quality: nonconformance reports, corrective actions and audit prep drafted from your own records
- Purchasing: supplier contracts and spec sheets summarized, and terms compared across vendors
Time new hires take to work on their own, downtime spent searching for answers, time to close corrective actions, and audit prep hours.
Can public AI tools put our trade secrets at risk?
They can. Trade secret protection depends on taking reasonable steps to keep information secret, and pasting formulas or process specs into a third-party AI tool can undercut that. A box in your plant keeps them in-house.
Will AI replace our experienced operators?
No. It captures what they know so it isn’t lost when they retire, and helps newer staff find answers without waiting. Every answer cites the work instruction it came from, so people can check it.
