COMPEL Glossary / GL-10
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.
What this means in practice
An evidence pack is assembled progressively through COMPEL stages — each stage contributes its required artifacts and control evidence — and is reviewed at quality gates to determine readiness for the next stage.
Context in the COMPEL framework
Evidence packs are initiated in Model, assembled in Produce, validated in Evaluate, and archived in Learn. They serve as the primary input for audit readiness and regulatory compliance demonstrations.
Where you see this
Evidence Pack 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
Synonyms
audit pack , compliance pack , governance evidence , control evidence
See also
- Governance Control — A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
- Production Readiness — The verified state in which an AI system meets all prerequisites for safe, governed operation in a production environment.
- Measurement Model — The structured framework for quantifying AI transformation progress and outcomes across four levels: strategic KPIs (organization-level), portfolio KPIs (aggregate across use cases), use-case KPIs (individual initiative performance), and operational KPIs (system-level health).
Related Terms
Other glossary terms mentioned in this entry's definition and context.