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COMPEL Body of Knowledge

COMPEL Glossary / GL-21

Policy Baseline Document

A structured inventory and gap analysis of all existing organizational policies relevant to AI — covering data, security, privacy, ethics, procurement, and acceptable use — that identifies which policies need to be created, updated, or retired to support the AI transformation program.

What this means in practice

It prevents governance gaps from persisting undetected into production deployments.

Context in the COMPEL framework

Produced in the Organize stage as a prerequisite to Model stage governance design. New AI-specific policies are built on top of the policy baseline rather than in isolation.

Where you see this

Policy Baseline Document is most commonly referenced when teams work across the Organize and Model 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

policy gap analysis , policy register , governance policy baseline

Related Terms Network

This diagram shows how Policy Baseline Document connects to other concepts in the COMPEL body of knowledge. Each linked node is a term you can explore in turn.

Related terms for Policy Baseline Document Network graph showing 3 related glossary terms connected to Policy Baseline Document. Policy Baselin… AI Operati… Control Re… Data Gover…
3 related concepts connected to Policy Baseline Document.
Accessible list of related terms
  • AI Operating Model Blueprint — A comprehensive design document that defines how the organization will govern, fund, staff, and operate AI capabilities at scale — covering the Center of Excellence structure, decision rights, team topologies, tooling standards, and operating procedures.
  • Control Requirements Matrix — A comprehensive mapping of every governance control required for each AI system — specifying the control type (preventive, detective, corrective), the risk or policy it addresses, the evidence required to prove effectiveness, the owner, and the testing frequency.
  • Data Governance Plan — A system-specific plan that defines data lineage, quality standards, access controls, retention policies, consent requirements, and bias monitoring obligations for every dataset used by an AI system.

See also

  • AI Operating Model Blueprint — A comprehensive design document that defines how the organization will govern, fund, staff, and operate AI capabilities at scale — covering the Center of Excellence structure, decision rights, team topologies, tooling standards, and operating procedures.
  • Control Requirements Matrix — A comprehensive mapping of every governance control required for each AI system — specifying the control type (preventive, detective, corrective), the risk or policy it addresses, the evidence required to prove effectiveness, the owner, and the testing frequency.
  • Data Governance Plan — A system-specific plan that defines data lineage, quality standards, access controls, retention policies, consent requirements, and bias monitoring obligations for every dataset used by an AI system.

Related Terms

Other glossary terms mentioned in this entry's definition and context.