The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / GL-70
Compliance Harmonization
The practice of implementing a single governance framework that satisfies multiple regulatory requirements simultaneously.
What this means in practice
COMPEL serves as a harmonization layer across EU AI Act, ISO 42001, NIST AI RMF, OECD AI Principles, Singapore MGF, and UNESCO, enabling organizations to implement once, comply with many.
Context in the COMPEL framework
A core design principle of COMPEL. Regulatory mapping in Model aligns artifacts with multiple frameworks. Produce generates cross-framework evidence. Evaluate audits coverage. Learn updates mappings for new regulations.
Where you see this
Compliance Harmonization 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
Canonical taxonomy
Synonyms
regulatory harmonization , cross-framework compliance , unified compliance
See also
- Conformity Assessment — A formal evaluation that demonstrates an AI system meets the requirements of an applicable regulation, standard, or governance framework — for example the EU AI Act conformity assessment required for high-risk AI systems before market placement, or third-party certification against ISO/IEC 42001.
- Governance Control — A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
- Control Coverage Percentage — The ratio of implemented and evidenced governance controls to required controls under a given standard or regulatory framework — for example ISO 42001, NIST AI RMF, or the EU AI Act.