Build a baseline first
Value cannot be demonstrated when the current process is unknown. Before changing it, measure volume, cycle time, waiting, manual touches, error/rework, escalation, customer effect and operating cost over a representative period.
A baseline also reveals normal variation. Without it, a busy or quiet month can be mistaken for the effect of AI.
Use a balanced scorecard
Speed alone can hide lower quality, extra review or frustrated customers. Combine efficiency, quality, adoption, risk and economic measures so improvement in one area is not purchased with invisible damage elsewhere.
- Efficiency: time, touches and throughput
- Quality: accuracy, rework and outcome
- Adoption: active use and override patterns
- Risk: exceptions, incidents and control performance
- Economics: total cost and capacity released
Attribute conservatively
Compare a controlled group or period where practical, record other process changes and include the cost of integration, supervision, support and model usage. Capacity released is not automatically cash saved unless the business can redeploy it.
The most credible result may be faster service, better visibility or lower risk rather than a dramatic ROI percentage. Report what the evidence supports.