COMPEL Glossary / GL-05
Governance Control
A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
What this means in practice
Each governance control must specify its type, the evidence required to demonstrate its effectiveness, the owner responsible for its operation, and the frequency of testing. Controls without evidence are intentions, not safeguards.
Context in the COMPEL framework
Governance controls are designed in the Model stage, activated in the Produce stage, tested in the Evaluate stage, and refined in the Learn stage. They form the operational backbone of the COMPEL governance framework.
Where you see this
Governance Control is most commonly referenced when teams work across the Model , Produce , Evaluate and Learn stages — especially within the Operational Readiness layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.
Related COMPEL stages
Related domains
Synonyms
AI control , governance mechanism , risk control , policy control
See also
- Evidence Pack — The complete, auditable collection of artifacts, test results, decision records, and attestations that demonstrate an AI system meets its governance, compliance, and operational requirements.
- AI Operating System — A structured, repeatable management system that enables an organization to plan, govern, deliver, measure, and continuously improve AI capabilities across people, process, technology, and governance dimensions.
- Production Readiness — The verified state in which an AI system meets all prerequisites for safe, governed operation in a production environment.
Related Terms
Other glossary terms mentioned in this entry's definition and context.