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 / GL-52
Capability Baseline
A grounded inventory of the AI, data, platform, and talent capabilities currently in place across the organization, captured at a point in time.
What this means in practice
The capability baseline gives Calibrate an honest current-state reference so that maturity scores, gap analysis, and roadmap targets are computed against reality rather than aspiration. It is typically built from asset registers, data estate maps, and skills matrices.
Context in the COMPEL framework
Consumed by COMPEL Calibrate as a strategic input. Aligns with TOGAF Baseline Architecture and COBIT 2019 design factors.
Where you see this
Capability Baseline is most commonly referenced when teams work across the Calibrate stage — 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
Canonical taxonomy
Synonyms
baseline architecture , current-state capability map , as-is capability inventory
See also
- Maturity Baseline Report — A scored assessment of the organization's current AI capability maturity across people, process, technology, and governance dimensions, establishing the starting point against which transformation progress is measured.
- Portfolio Vision — A 3-5 year directional statement of the AI portfolio target state, describing the capabilities, business outcomes, and operating posture the organization intends to reach.
- Shadow AI Inventory — A structured catalogue of AI tools, models, and automated systems already in use across the organization that were deployed outside formal governance channels.
Related Terms
Other glossary terms mentioned in this entry's definition and context.