A regulated quality system usually lives as a folder tree of Word files on a shared drive. The current revision, its signatures, and the record of who has read it sit in three different places, so finding the current procedure means knowing where someone filed it.
We moved it into a database and enforced the lifecycle in software: draft, in-review, approved, effective, signed with re-authentication, and no one approves their own work. In a regulated system the control has to be enforced, not a convention people are trusted to follow. Every document carries its own attributes, so the team filters and searches for the current procedure instead of hunting for it.
An embedded agent reads across that record. It answers with a citation to the document and revision, flags contradictions across effective documents, and drafts from templates, and every output is a proposal a person signs off. The shared drive and its guesswork are gone.