Salesforce Engineering published material on how to evaluate production AI systems: by the results of actions in live systems, not solely by the quality of the dialogue.
In the cited scenario, the system confidently informs the customer that a refund has been processed. The conversation appears successful, but an account check reveals it remains open and the refund tool was never invoked.
The narrative highlights a practical risk: a convincing response alone does not prove that the required action actually occurred. The source provides no data on the frequency of such cases, measurement methodologies, or independent confirmation.
editorial commentary
Why it matters
If the described gap between the system's response and the account status repeats, the next observable signal will be a shift from evaluating dialogues to verifying records of executed operations. Significant uncertainty remains: the source contains only a synopsis and does not disclose scale, methodology, or independent confirmation.