How Do You Know Your AI Agent Is Working?
Risk committees have started asking a question many IT organizations are not yet equipped to answer: how do you know an AI agent is working? Not whether it demos well, but whether anyone can produce evidence, on request, that it behaves correctly across the situations it encounters. For many agent deployments, the honest answer is a demo; a handful of test prompts someone ran in a notebook, and a general sense that complaints have been manageable. That was acceptable when agents drafted content for a person to review. It isn’t acceptable when an agent retrieves regulated data, calls downstream systems, and acts on behalf of the organization.
In this post, I explain why evaluation and monitoring separate an agent pilot from an agent an enterprise can rely on, how most organizations handle this today, and how the Databricks approach differs. My focus is on evaluating agent behavior and output quality....
Copyright of this story solely belongs to blogs.perficient.com. To see the full text click HERE
