The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / centralized-archetype
Centralized archetype
Operating-model archetype in which all AI capability sits in a single central team serving the organization — high consistency and quality, low business-proximity.
What this means in practice
Appropriate for early-stage AI programs, heavily regulated contexts, or organizations with scarce AI talent; becomes a bottleneck as AI usage scales.
Synonyms
central AI team , AI central-of-gravity model
See also
- Federated archetype — Operating-model archetype in which AI capability is distributed across business units, coordinated by a central standards body that sets policy and shares platform.
- Embedded archetype — Operating-model archetype in which AI capability is fully embedded in every business function with minimal central structure — highest business-proximity, highest divergence risk.
- Hybrid (hub-and-spoke) archetype — Operating-model archetype with a CoE hub providing platform, standards, and scarce-expertise services, plus embedded spokes in each business unit owning use-case delivery.