For those deploying AI inside companies: what do clients ask for that you still can't give them?

Reddit r/AI_Agents News

Summary

A practitioner asks enterprise AI deployers which requests from clients they still can't fulfill, citing poor internal adoption (e.g., one sysadmin reported only ~5 of 300 users actually using it), and flags gaps like company-specific knowledge, answer provenance, and access control.

I asked a bunch of sysadmins last week what people still use AI for after the rollout. Pretty harsh. "A more expensive Google web search." "Execs use it and ask us to use it. No one uses it." One guy said out of 300 users maybe 5 use it. So adoption is bad, ok. What I can't figure out is what would actually fix it, and I figure people here see it from the other side since you're the ones putting this stuff in. When you deploy for a company, what do they keep asking for that you can't really deliver yet? - knowing the company's own stuff, not just the docs you indexed - showing where an answer comes from before someone sends it to a client - controlling who can ask what - or is it something boring I'm not thinking of I'm building in this space so I'm biased, I'd rather hear it now than build the wrong thing. What's the request you hear the most?
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