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COMPEL Glossary / GL-71

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.

What this means in practice

The AI-BOM is to AI systems what the SBOM (Software Bill of Materials) is to traditional software, providing the supply-chain transparency needed for vendor due diligence, incident response, regulatory disclosure, and procurement governance.

Context in the COMPEL framework

Produced and maintained as part of D20 (AI Supply Chain Governance). Initial AI-BOMs are drafted in Calibrate when shadow AI and procured systems are inventoried, formalized in Model alongside procurement governance design, refreshed in Produce as systems change, audited in Evaluate against contractual and regulatory requirements, and updated in Learn as new dependencies emerge.

Where you see this

AI Bill of Materials (AI-BOM) 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

AI-BOM , AI components inventory , AI supply chain manifest

See also

  • 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.
  • 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.
  • 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.