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 / multi-tenant-ai
Multi-tenant AI
A design pattern that serves multiple tenants from a shared AI system with isolation at the retrieval (namespace), rate-limit, policy, cost-attribution, and evaluation layers.
What this means in practice
Multi-tenant AI requires explicit isolation at every plane of the reference architecture; shared inference and shared embeddings do not excuse shared data visibility.
Synonyms
multi-tenant AI architecture , tenant-isolated AI
See also
- Data residency (AI) — The requirement that training data, retrieval data, and inference itself occur within a specified jurisdiction.
- AI reference architecture — A canonical layered model — client, orchestration, model, knowledge, observability planes — that every AI system maps onto.
- Knowledge plane — The layer of an AI system that stores and serves non-parametric knowledge to the model — through retrieval over vector stores, traditional indexes, and tool-based data access.