AI automation that actually sticks

Most automation projects fail in month three — not because the model is wrong, but because nobody owns the workflow around it. Durable automation shares three properties: a clear human-in-the-loop boundary, observable failure modes, and a rollback path.

We break down how we design agents that operations teams trust enough to leave running.