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COMPEL Body of Knowledge

COMPEL Glossary / GL-43

Policy Update Register

A tracked register of all policy changes, additions, and retirements triggered by insights from the Evaluate stage — documenting the rationale for each policy change, the approver, the effective date, and the affected systems or processes.

What this means in practice

It ensures that governance learning is codified into updated policy rather than remaining as informal organizational knowledge.

Context in the COMPEL framework

Produced and maintained in the Learn stage. Policy updates recorded here flow back into the Policy Baseline Document and are distributed to all affected teams via the Stakeholder Engagement Plan.

Where you see this

Policy Update Register is most commonly referenced when teams work across the Learn stage — 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 change log , governance policy register , policy amendment tracker

Related Terms Network

This diagram shows how Policy Update Register 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 Update Register Network graph showing 3 related glossary terms connected to Policy Update Register. Policy Update … Policy Bas… Incident a… Continuous…
3 related concepts connected to Policy Update Register.
Accessible list of related terms
  • 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.
  • Incident and Risk Review — A structured review of all AI-related incidents, near-misses, and emerging risks that occurred during the evaluation period — including root cause analysis, control failure attribution, and required remediation actions — to ensure that the organization learns from operational experience and updates its risk profile accordingly.
  • Continuous Improvement Backlog — A governed, prioritized backlog of improvement actions identified across all Evaluate and Learn stage reviews — covering control enhancements, workflow refinements, model updates, policy changes, and capability investments — that ensures organizational learning is translated into concrete, scheduled improvement work rather than good intentions.

See also

  • 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.
  • Incident and Risk Review — A structured review of all AI-related incidents, near-misses, and emerging risks that occurred during the evaluation period — including root cause analysis, control failure attribution, and required remediation actions — to ensure that the organization learns from operational experience and updates its risk profile accordingly.
  • Continuous Improvement Backlog — A governed, prioritized backlog of improvement actions identified across all Evaluate and Learn stage reviews — covering control enhancements, workflow refinements, model updates, policy changes, and capability investments — that ensures organizational learning is translated into concrete, scheduled improvement work rather than good intentions.

Related Terms

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