AI GOVERNANCE & CONTROL
AI works within the boundaries you set.
Responsibility goes beyond an instruction to a model. We build controls into data access, tools and everyday work.
Discuss your processCONTROL BUILT INTO THE PROCESS
Three questions. Practical controls.
What can AI know?
Information sources and access reflect user permissions and the purpose of the process.
What can AI do?
Explicit permissions, limits and human approval for sensitive actions.
What did AI actually do?
A record of operations, human decisions, solution versions and task outcomes.
ILLUSTRATIVE DOCUMENTATION
AI use case record
An illustrative outline of the documentation we develop with the process owner.
- Process goal
- Prepare a response to an enquiry
- Owners
- Business and technical
- Data sources
- Approved knowledge and CRM
- Permitted actions
- Read data and prepare a draft
- Human approval
- Always before sending a response
- Measures
- Working time, accuracy, cost per case
- Incident handling
- Stop the process and escalate
- Review
- At agreed intervals and after changes
This record is illustrative. Its scope is adapted to the specific use case.
AI GOVERNANCE STARTER
Consistent oversight. A focused scope.
One department or a focused set of use cases. Deliverables: an AI register, roles, risks, access rules and selected controls for one use case.
We start with one department or a focused set of use cases. We establish a register, roles, risk classification, access rules and change and incident procedures. For one use case, we implement the agreed controls.
Indicatively 3–5 weeks. Scope and timing are confirmed after discovery. A broader compliance programme and legal opinions require separate scope and expertise.