An AI Pilot Isn’t Finished Until It Reaches the Workflow

On October 20, Code Story published an episode with Pooja Brown, CTO of Tribe AI, about moving enterprise AI pilots into production. The episode’s key takeaways emphasize integration, security, evaluation, and introducing agent autonomy gradually through human review—not simply proving a model can produce a convincing demo. Read the episode notes.

That’s a useful shift in the question: don’t ask only whether the prototype works; ask whether a real team can use it safely in its existing workflow. For a first deployment, choose one recurring task, keep the agent’s output reviewable, and track what people correct or reject. If the team can’t verify the output or the workflow adds friction, pause before expanding autonomy.

What evidence would convince you an AI pilot is ready for its first real users?