Records Retention Management

Retention management fails at execution rather than at policy. Most organizations have a schedule; far fewer apply it, and fewer still dispose on it — so estates grow indefinitely and every record remains discoverable forever. Execution requires knowing what each record is and when its clock started, and both are classification questions that must be answered at ingestion rather than at disposition time.

Centralpoint infers record type and triggering dates during ingestion and holds them as record properties, so retention clocks start automatically rather than depending on a user selecting a category. This inference predates the AI layer entirely: the same derivation drove retention and routing for years before any vector index consumed it. Disposition then operates across the estate including AI artefacts, so interaction logs and cached answers follow the same schedule as the content.