Concepts
For how these concepts fit together, see The Meaning Stack™ — the reference architecture of the category.
The operating model for semantic governance: the processes, tooling, and ownership structures by which an organization maintains canonical definitions across AI systems.
A governed semantic context in which a concept carries exactly one binding definition, specific to a domain, purpose, or framework.
The gap between the meanings an organization assumes are shared and the meanings that are actually operative in its systems.
The gradual divergence of meaning that occurs when a concept is used across multiple systems, teams, or domains without shared governance.
The discipline of treating definitions as governed organizational assets — explicitly maintained, versioned, and auditable.
A single, aligned understanding of a concept across departments, systems, and AI models — the outcome a Meaning Room is designed to produce.