01
THE CORE INSIGHT
The contextualization gap.
Manufacturing AI underperforms for a specific, diagnosable reason: the gap between what AI models are trained to do and what the plant floor needs them to do.
That gap isn't closed by better models. It's closed by better management — by the people, processes, and structures that situate AI in the operational context where it has to work.
02
THE FIVE DOMAINS OF AIMS
Transformation, organized.
AIMS organizes manufacturing AI transformation across five domains — each a discipline, not a checkbox.
1
Deploy AI Differently
Augment the worker, not just the work.
2
Redesign Processes
Optimize for human - AI decision flow.
3
Redesign the Org
From data aggregation to data validation
4
Measure Differently
Track leading indicators of thinking quality
5
Develop People
Credibility from experience, not position.
03
THE 90-DAY ENTRY SEQUENCE
From AI curiosity, to AI readiness.
A structured sequence designed to move organizations forward — without overwhelming existing operations.
A focused 12-week engagement — moving from shared literacy to live pilots with new metrics in place.
04
WHO AIMS IS FOR
Serious AI ambitions. Complex operations
CDOs & CIOs
Responsible for AI strategy and ROI across the enterprise.
Plant & BU Leadership
Accountable for operational performance on the floor.
Scaling Teams
Moving from early AI experiments to scaled deployment.