AI Agents Are Impressive Until They Need to Handle One Exception

AI agent demos often succeed with clean workflows, but real-world business scenarios are filled with exceptions like incomplete data, unusual customers, or broken integrations. The true measure of an agent's reliability might not be its ability to complete a normal path, but rather its capacity to recognize when to stop and request human assistance. This raises questions about how to effectively measure agent reliability in complex environments.