Your AI Agents Have Dashboards. Their Human Managers Have Annual Reviews
A sales manager opens a dashboard and sees that an outbound AI agent has completed 1,200 prospecting tasks overnight. The system reports strong delivery rates, low token costs and an acceptable error rate. Everything appears efficient until a customer forwards one of the messages to the company’s legal team. The agent followed its instructions, but the person supervising it failed to notice that the language was technically accurate, commercially aggressive and reputationally dangerous.
Most companies know how to investigate the machine in that situation. They can inspect the prompt, review the logs, compare the output against policy and trace the exact moment the workflow went wrong. They usually have far less evidence about the manager who approved the process. An annual review may say that the person has strong judgment and good communication skills, but it cannot show how they behaved when the AI produced a convincing mistake.
This gap...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
