Was your enrichment built for AI, or did it exist before?

The distinction matters when assessing maturity. A pipeline built recently to feed embeddings has one set of assumptions and has never been tested against conflicting requirements. A pipeline that has served retention, routing, entitlement and search for years has.

Oxcyon has derived structure, classification and metadata from content since 2000. Those derived properties drove retention clocks, workflow conditions, audience evaluation and full-text indexing long before any model consumed them. The AI layer reads the same enrichment without altering it — which is part of why 451 Research described Centralpoint as built on an existing data governance substrate rather than assembled for generative AI.