01 / Problem
The operating context
AI use was fragmented and lacked a shared operational standard for secure, accountable application.
Responsible organisational adoption
AI adoption connected to real work
An anonymised programme combining practical training, workflow implementation, accountable governance and adoption reporting.
ProblemInterventionOperating state
Training tied to workHuman accountabilityAdoption reporting
02 / Intervention
The mandate and system work
Move beyond awareness sessions by connecting learning to real work while keeping people accountable for decisions and outputs.
03 / Operating state
What the work connected
- Role-relevant training and upskilling
- Practical workflow implementation
- Governance and usage boundaries
- Documentation and reusable patterns
- Adoption and usage reporting
A governed adoption layer connecting approved tools to real workflows while retaining human decision ownership.
EXTERNAL BOUNDARYOrganisation data boundaryApproved model providers
- 01People and rolesMake accountability explicit
- Workflow owner
- Practitioner
- Reviewer
- 02Approved capabilityBound the technical choices
- Approved tools
- Prompt patterns
- Knowledge sources
- 03Workflow layerApply capability to work
- Task intake
- Assisted production
- Human review
- 04Governance and measureControl and improve adoption
- Risk register
- Usage evidence
- Outcome review
ASSURANCE BOUNDARYRisk classificationData-use boundaryNamed reviewerPeriodic outcome review
KEY CONNECTIONS
- 01Role to permission
- 02Workflow to approved tool
- 03Output to human review
- 04Usage to measurement
- 01Workflow ownerIdentify
- Input
- Operational need
- Output
- Candidate use case
ExceptionNo accountable owner
- 02Governance leadClassify risk
- Input
- Candidate use case
- Output
- Permitted handling route
ExceptionRestricted data or decision
- 03PractitionerPrototype
- Input
- Approved route
- Output
- Test workflow
ExceptionQuality threshold missed
- 04Adoption leadTrain
- Input
- Tested pattern
- Output
- Role-ready capability
ExceptionConfidence gap
- 05Workflow ownerDeploy
- Input
- Approved pattern
- Output
- Controlled live use
ExceptionBoundary breach
- 06Named reviewerReview
- Input
- Assisted output
- Output
- Accepted human decision
ExceptionOutput rejected
- 07LeadershipMeasure
- Input
- Usage and exceptions
- Output
- Adoption decision
ExceptionLow use or weak outcome
An illustrative five-level, role-based AI capability pathway with evidence required to progress.
Related capability
Build the capability behind the case.
A useful first conversation