This paper argues that in AI-mediated enterprise systems, ‘meaning’ becomes operational: semantic models participate directly in orchestration, recommendations, and execution pathways. It connects semantic drift and abstraction compression to legitimacy failures at the moment consequence binds, and frames AI-ready semantics as a prerequisite for execution admissibility architecture.
• How does semantic abstraction become an execution surface? • How do institutions prevent semantic drift from becoming authority drift? • What semantic controls are required for admissible execution? • How do data products, ontologies, and runtime context models participate in governance at T=0?
Explain how semantic structures (definitions, ontologies, metadata, and context models) become execution-participating components in AI-mediated workflows, shaping admissibility decisions and institutional legitimacy.
• The Desynchronization of Authority • Execution Attribution Collapse • From Data Governance to Execution Admissibility
When enterprise meaning becomes operational in AI-mediated systems
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