AI in context.
Manufacturing.
Procedures, maintenance, and quality knowledge, connected.
The knowledge is on the floor and in the binders. Connecting it is the first win.
Opportunity map
Where we would start.
Opportunity assessment
Find the right place to begin.
Illustrative positions, not measured results.
Value to targetPut effort into the right workflow.
Compare value and feasibility before committing.
Measure: baseline effort and validated gainsWhere to start
Three starting points.
01
Procedures and know-how
Sourced answers from procedures and history.
02
Maintenance and quality records
One picture for the next shift and auditors.
03
Plant and supply coordination
Route exceptions with context and an owner.
Signature workflow
Maintenance request to closure.
Workflow redesign
Same work. A different way through.
Today
The current sequence.
- Report
- Find history
- Diagnose
- Plan
- Approve
- Close
With AI
AI where it helps. People where it matters.
- ReportAI assisted
- HistoryAI assisted
- DiagnoseWorkflow step
- PlanAI assisted
- ApproveHuman approval
- CloseAI assisted
- AI assisted
- Human authority
People stay accountable for the outcome.
Value to targetReturn time to work that needs judgement.
4 of 6 proposed steps use AI assistance.
Measure: hands-on minutes per task, including reviewEstimate time savings for this workflowUse your own volume and times
Include review, exceptions and corrections in the assisted time.
Weekly time difference = tasks × (minutes today − minutes with assistance) ÷ 60.
Sector requirements
What has to be true first.
01
Plant decisions stay on the floor
Control and safety stay with people.
02
Works with OT and IT boundaries
No agent reaches control systems.
03
Evidence for audits
Records and actions are traceable.