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-67
AI Supply Chain Governance (D20)
The 20th maturity domain in the COMPEL framework, covering the governance of AI systems procured from or dependent on external parties.
What this means in practice
Encompasses vendor AI due diligence, shadow AI discovery, AI Bill of Materials (AI-BOM), contractual governance clauses, and continuous monitoring of third-party AI. Added in COMPEL v2.5.
Context in the COMPEL framework
D20 sits under the Governance pillar (D15-D20). During Calibrate, third-party AI dependencies are inventoried. Model designs procurement governance. Produce monitors vendor AI. Evaluate audits compliance. Learn captures vendor management insights.
Where you see this
AI Supply Chain Governance (D20) is most commonly referenced when teams work across the Calibrate , Organize , 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
third-party AI governance , AI vendor governance , AI procurement governance
See also
- AI Environmental Sustainability (D19) — The 19th maturity domain in the COMPEL framework, covering the governance of AI's environmental impact including energy consumption tracking, carbon footprint management, water usage monitoring, model efficiency optimization, and ESG reporting for AI operations.
- AI Bill of Materials (AI-BOM) — A structured inventory of every component that comprises an AI system — including foundation models, fine-tuned variants, training datasets, embeddings, vector stores, prompts, agent tools, third-party APIs, libraries, and runtime dependencies — together with their provenance, licenses, versions, and known risks.
- Shadow AI Inventory — A structured catalogue of AI tools, models, and automated systems already in use across the organization that were deployed outside formal governance channels.