COMPEL Glossary / GL-02
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.
What this means in practice
Each dimension is scored independently with defined minimum thresholds that must be met before production deployment.
Context in the COMPEL framework
Operational readiness is a transformation enabler that is assessed at every COMPEL stage. It prevents organizations from deploying AI systems into environments that lack the organizational infrastructure to support them.
Where you see this
Operational Readiness 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
Synonyms
deployment readiness , go-live readiness , organizational readiness
See also
- 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.
- Production Readiness — The verified state in which an AI system meets all prerequisites for safe, governed operation in a production environment.
- Value Realization — The end-to-end process of defining, tracking, and verifying the business value delivered by AI initiatives — from initial value thesis through baseline measurement, deployment, post-deployment review, and ongoing benefit tracking.
Related articles in the Body of Knowledge
Related Terms
Other glossary terms mentioned in this entry's definition and context.