Strategy & ROI

How to Measure AI Agent Performance

The metrics that matter for AI agents: approval rate, edit rate, time saved and business outcome.

Written by
AI Agents at Work · editorial team
Last reviewed
Reading time
2 min
Sections
3

The short answer

Measure AI agents on four levels: approval rate, edit depth, time saved per task and the business outcome the workflow drives. Usage alone says little.

Key takeaways

  • Track approval and edit rates.
  • Calculate hours returned.
  • Report business outcomes.
Part of the complete guideAI Agent Strategy and ROI: A Complete Leader's Guide →

01Quality metrics

Approval rate and how much reviewers edit show whether output is close to final.

02Efficiency metrics

Minutes saved per task times volume gives hours returned to the team.

03Business metrics

Revenue, margin or cost moved by the workflow. Prove the value against the business goal agreed at the start.

Frequently asked questions

What's a good approval rate?

It varies, but rising approval with shrinking edits signals a healthy agent.

How often should we review?

Weekly during pilot, monthly after.

How this guide was made

Written and reviewed by our editors against vendor documentation, public regulation texts and practitioner interviews. We update guides when products or rules change. Tools mentioned may have a commercial relationship with this site; this never decides what we recommend.

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