Picture an agent processing two hundred transactions a minute. Your alert fires, a manager opens it, reads it and pings the team lead. Five minutes have passed, and eight hundred transactions share the same error, multiplying the consequences even though your review process worked exactly as designed. This is why gates, real-time detection and rollback capability have to be designed before the system ever runs. A governance layer built to audit what agents did last quarter can’t rein in agents making decisions this nanosecond.
Here is the part that surprises many customers I speak to: The more capable these systems get, the more human oversight they require. The work shifts from approving decisions to supervising behavior across a much broader scope. But it does not shrink. Anyone budgeting for autonomy as a headcount reduction has the equation backwards.
Encoding what you actually mean
Agents optimize for what they can measure. Everything else is invisible to them. The refund agent chasing positive reviews was simply told to make customers happy, found the one lever it could measure and pulled that lever like an addicted hamster. That disparity between what an organization intends and what its agents can do is a legibility problem.