Services
AI governance and operational control
Define who is accountable, what the system can do and how its behaviour will be evaluated.
Translate policies into operation
A policy becomes useful when it identifies an owner, a decision rule and a control that can be checked. Governance work connects those requirements with the workflow and the systems involved.
Design meaningful human oversight
Approval should match the risk and consequences of an action. The person reviewing it needs relevant context, authority to intervene and a workload that allows an informed decision.
Evaluate the controls that matter
The scope can include access permissions, traceability, quality evaluations, cost limits and response to exceptions. Test results inform whether a workflow is ready for wider use.
Keep the limits visible
Auditability supports review; it does not make every output correct. Controls, certifications and capabilities must be described according to their verified scope and current state.