What is metadata enrichment in Centralpoint?

Enrichment attaches the properties that make a record governable: type, dates, entities, relationships, classification and taxonomy position. The alternative — asking users to supply them at upload — decays reliably, because optional fields are skipped, mandatory ones are guessed, and within a year nothing built on those properties can be trusted. Every downstream control inherits the unreliability: routing defaults, retention clocks never start, and filters return nothing useful. Centralpoint has derived these properties automatically since long before its AI layer existed, and the consumers are several rather than one. Retention triggering reads the derived dates, workflow routing reads the derived type, audience evaluation reads the derived classification, and full-text search reads the extracted content. The vector index consumes the same enrichment without altering it — one derivation, many consumers, and the model arriving last rather than being the reason the pipeline was built.