FikolasAI guide
How to measure the value of an AI Agent.
An AI Agent has value only if it changes something in daily work: less wasted time, fewer errors, more consistency or better follow-up.
Measure time saved
Compare the time required before and after: preparing a follow-up, qualifying a lead, summarizing a meeting, tracking a case.
Measure quality
A good agent produces clearer, more complete and more consistent outputs.
Measure adoption
If nobody uses the agent after two weeks, the problem may not have been important enough or the deliverable clear enough.
Quick answer
Measure an AI Agent’s value before and after on the same task.
First measure time, manual steps, corrections, turnaround and the share of usable outputs. Then compare the same metrics over a representative period.
Operational metrics
- Average time per case
- Number of manual corrections
- Share of approved outputs
- Time from input to response
Adoption metrics
- Frequency of use
- Active users
- Reported exceptions
- Feedback from the people involved
A cautious calculation
An estimate can compare potentially saved time with the full cost of the task and software costs. It remains a hypothesis until observed in real working conditions.
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