Skip to main content
COMPEL Body of Knowledge

COMPEL Glossary / GL-08

Production Readiness

The verified state in which an AI system meets all prerequisites for safe, governed operation in a production environment.

What this means in practice

Production readiness is not simply technical deployment capability — it encompasses confirmed operational readiness across all 10 dimensions, activated governance controls, configured monitoring and telemetry, completed user training, documented runbooks, and established escalation paths.

Context in the COMPEL framework

Production readiness is assessed at Gate P (end of Produce stage) and serves as the definitive checkpoint before any AI system enters production operation. It integrates technical, organizational, and governance requirements into a single pass/fail evaluation.

Where you see this

Production Readiness is most commonly referenced when teams work across the Produce and Evaluate 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

deployment readiness , go-live readiness , production certification

Related Terms Network

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

Related terms for Production Readiness Network graph showing 3 related glossary terms connected to Production Readiness. Production Rea… Operationa… Governance… AI Operati…
3 related concepts connected to Production Readiness.
Accessible list of related terms
  • Operational Readiness — The assessed capability of an organization to sustain AI operations across 10 interdependent dimensions: strategy alignment, governance maturity, operating model, workforce capability, data readiness, technology infrastructure, monitoring and observability, vendor dependency management, compliance readiness, and change and adoption.
  • Governance Control — A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
  • AI Operating System — A structured, repeatable management system that enables an organization to plan, govern, deliver, measure, and continuously improve AI capabilities across people, process, technology, and governance dimensions.

See also

  • Operational Readiness — The assessed capability of an organization to sustain AI operations across 10 interdependent dimensions: strategy alignment, governance maturity, operating model, workforce capability, data readiness, technology infrastructure, monitoring and observability, vendor dependency management, compliance readiness, and change and adoption.
  • Governance Control — A defined mechanism — preventive, detective, or corrective — that enforces policy compliance, mitigates identified risks, or ensures operational integrity for AI systems.
  • AI Operating System — A structured, repeatable management system that enables an organization to plan, govern, deliver, measure, and continuously improve AI capabilities across people, process, technology, and governance dimensions.

Related articles in the Body of Knowledge

Related Terms

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