# Manufacturing quality intelligence kit

Use this kit to connect manufacturing quality signals, maintenance notes, production exceptions, and operator feedback into governed AI intelligence loops. It keeps recommendations tied to evidence, reviewers, downtime impact, and root-cause hypotheses.

## What it includes

- A signal map for production line events, maintenance notes, defect classes, operator feedback, and recommendation evidence.
- An action register for recommended response, reviewer, downtime impact, part dependency, and closure evidence.
- A structured schema for line, station, asset, defect class, recommendation, confidence, reviewer, and resolution.
- A shift handoff brief for quality trends and open exceptions.
- A root-cause map for defect patterns and operational hypotheses.

## How to use it

Start with one line or product family. Use AI recommendations to speed investigation, not to bypass quality owners. Track every recommendation through reviewer decision and resolution evidence so the system improves with actual operational feedback.