MOSAIC Network
Make local AI quality experiments reusable without imposing one central model or spreading unverified practice.
System context
Sites independently improve AI-assisted inspection after a failed central rollout. Results are good but rarely transfer.
Your role
You coordinate learning across twenty-four autonomous manufacturing sites.
Constraints
- A single model rollout is prohibited.
- Sites use different equipment and product mixes.
- Central staff can support only four shared standards.
Evidence pack
Local gains
Three sites cut false rejects by 30% using different methods.
Reuse rate
Only one practice was reused by another site.
Reporting gap
The shared template records KPIs but not hypotheses or test conditions.
Repeated experiment
One site repeated a test another closed six months earlier.
Interactive simulation
Three connected decisions
Make local AI quality experiments reusable without imposing one central model or spreading unverified practice.
This case, its world, organisations, places and events are original Methodfield material and do not reproduce a protected fictional universe.