Route human review by calibrated confidence and error cost
The boundary between agent and human work should be determined not by accuracy alone, but by calibrated confidence evaluated against the financial consequences of error—converted into a dollar threshold for escalation to human review.
Supporting evidence
Original excerpt
The framework developed here locates the boundary based on calibrated confidence, which is evaluated against the financial consequences of error and converted into a dollar threshold at which the agent would escalate.
Context
The reduction in the cost of knowledge work produced by agentic systems expands the volume of work worth performing and shifts the strategic question from the extent of automation to the placement of human judgment within it. This boundary cannot be determined by accuracy alone, because the value of human review depends on both the probability of an error and the consequence of that error. The result is a system that directs human attention toward the decisions in which it creates the greatest value, rather than applying a uniform review threshold.