Measuring AI ROI through net benefit, risk and adoption

Move beyond headline hours

Gross time saved ignores review, integration, licensing, training, exceptions and support. A useful business case calculates net capacity released and whether that capacity changes cost, throughput, service or risk.

Measure quality, cycle time, rework and control exceptions before and after the pilot. Adoption belongs in the model because unused capability has no return.

How to treat productivity examples

In one anonymised measured workflow, throughput increased by up to 8x during a bounded pilot. The baseline was completed cases per staffed hour, and the result included mandatory human review. It is a case example, not a forecast for every workflow.

The lesson is methodological: define the unit, baseline it, control the pilot and explain what operating effort remains.

Create an investment gate

Agree the minimum result required to scale, the risks that must remain within tolerance and the evidence an executive will accept. Then make expansion a decision rather than an assumption.