AI Use Case Intake and Scoring Agent

Teams submit AI ideas faster than anyone can assess them, and without a consistent method the loudest idea wins. This agent takes each idea from the intake form and asks the requester follow-up questions until it knows the process, the weekly volume, the data involved and the expected gain. It checks the data catalog to see whether the needed data exists and who owns it, screens the idea against your AI policy, and scores value, feasibility and risk. After each round of questions it checks whether the key answers are complete. If they are still missing after two rounds, it parks the idea and tells the requester exactly what is needed. You approve the shortlist and the order of work. Edge case: an idea that uses customer personal data is routed to privacy review before it can be scored as ready.