What is Document Revision Intelligence?

Revision data answers questions nobody asks because they assume the answer is unavailable. Which policies are revised constantly, signalling ambiguity rather than diligence. Which have not been touched since a regulation moved. Which are edited by people outside the owning function. Which pass through six drafts before approval, indicating unclear requirements rather than careless drafting. Each is a management signal sitting unread in metadata. Because revision history sits alongside the rest of the governed estate in Centralpoint, these patterns are reportable rather than requiring a separate analysis project. Paired with AI interaction data the reading sharpens further: a document revised frequently and asked about constantly usually means the document is not the problem — the underlying policy is unclear, and the corpus should carry a governed answer rather than the estate carrying a seventh draft.