I work in enterprise content management, mostly helping organisations modernise old legacy document systems. The AI conversation has completely taken over client conversations in the last year or so, but what actually holds projects up almost never gets talked about publicly. It’s the content itself. Years of documents sitting in file shares or old ECM systems with no consistent metadata, no clear ownership, versions of the same document scattered in three places. You can point the best model in the world at that and it’ll still produce inconsistent or unreliable output, because it’s reading from a mess. Every audit I’ve been part of finds the same handful of things: unstructured storage, unclear retention, nobody quite sure which version is “the real one.” That’s the actual blocker, and it’s unglamorous compared to talking about agents and copilots, so it doesn’t get addressed until a project’s already stalled. Curious if others here doing implementation work are seeing the same thing, or if it’s different depending on sector. submitted by /u/ginozambe
Originally posted by u/ginozambe on r/ArtificialInteligence