Use Case · Manufacturing

Private AI for Manufacturers

Shop-floor knowledge, maintenance history and quality records answerable in seconds, with formulas kept in your plant.

Illustrative Scenario, Not Client Results
04
Manufacturing

Shop-Floor Knowledge That Doesn’t Retire

Who

A 200-person manufacturer running two shifts, with decades of process know-how, proprietary formulas and an ISO 9001 quality system.

The Problem

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.

How It’s Protected

Formulas, process specs and supplier pricing stay on the box in your plant. Nothing is sent to a cloud AI service.

What Reeve Does
  • 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
What We’d Measure in the Pilot

Time new hires take to work on their own, downtime spent searching for answers, time to close corrective actions, and audit prep hours.

Capture what your veterans know before they walk out the door.
Questions

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.

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Start Small

One Team, One Job, Then Grow

Every engagement starts with a readiness assessment and a pilot for one team with one clear job. When the monthly report card shows it working, we add the next team.

1. Readiness Assessment

We review your documents, your tools and how your people use AI today, and pick the first job.

2. Single-Team Pilot

A Sealed box, one team, a person approving every change, and results measured against an agreed baseline.

3. Expand Team by Team

Each new team or tool is added on the same box, inside the same boundary.

Apply for the pilot →