1. Capture the baseline first
- How many times the task happens per week
- How long each one takes today
- How often mistakes happen and what they cost
- How long customers or colleagues wait for the result
2. Measure the agent on real work
- Completion rate: the share of tasks finished without a person stepping in
- Accuracy: the share of completed tasks that were right
- Time to result, from request to finished task
- Running cost per task, including models and infrastructure
3. Count the hidden costs
Human review time, exception handling, monitoring and periodic updates are real costs. An agent that completes most tasks but needs every result checked may save less than it seems. Track review time explicitly and reduce it as accuracy is proven.
4. Look beyond hours saved
- Faster response times, such as replying to leads within minutes
- Work done outside office hours
- More consistent quality and fewer missed steps
- Staff time moved to work that needs judgement
5. Decide with evidence
After a few weeks on real work you will know the completion rate, accuracy and cost. That is enough to decide whether to expand, adjust or stop — which is exactly what a proof of concept is for.