Audit purposes for sure. How was this code/concept generated, what were the prompts/requirements, what thinking did the model complete, can this be replicated or repeated, etc.

A vendor conference I was at a few weeks ago focused heavily on this, for most of their Agentic workflow items. How can you show the AIs work, prove what it did was within guidelines, then audit the process and result.

Like, if your system has an AI backed federated search for documents and you ask it a question about those documents, you need an audit trail of the ask, what documents were referenced, and what was returned to the user.

Then if wrong information was supplied that can be pinned down and explained in case of lawsuit or other need.