AI KPI benchmarks

The measures that show whether an AI use case works: what each one means, how to measure it honestly, and the values organizations report in public.

Interactions handled

Number of conversations, cases or documents the AI handled.

74 reported values · tracked by 84 use cases

Users served

Number of customers or employees who used it.

33 reported values · tracked by 46 use cases

Productivity gain

Increase in output per employee, or share of working time saved.

30 reported values · tracked by 73 use cases

Cycle time reduction

Reduction in end to end time from request to outcome.

25 reported values · tracked by 92 use cases

Accuracy

Share of outputs that are correct on a checked sample.

22 reported values · tracked by 74 use cases

Handling time reduction

Reduction in average handling time per contact or case.

20 reported values · tracked by 48 use cases

Containment rate

Share of conversations the AI resolves without a human taking over.

18 reported values · tracked by 31 use cases

Hours saved

Total employee hours saved per year.

18 reported values · tracked by 49 use cases

Automation rate

Share of cases, documents or transactions processed end to end without human touch.

17 reported values · tracked by 52 use cases

Cost reduction

Reduction in the cost of running the process or channel.

11 reported values · tracked by 32 use cases

Cost savings

Absolute cost saved per year.

11 reported values · tracked by 26 use cases

Cycle time

Elapsed days from request to outcome after the change.

11 reported values · tracked by 24 use cases

Time saved per task

Minutes saved per task, document or case.

11 reported values · tracked by 55 use cases

Conversion uplift

Relative increase in conversion from lead, visit or offer to sale.

8 reported values · tracked by 27 use cases

Contact deflection

Reduction in calls, chats or tickets that reach a human, because the need is met another way.

7 reported values · tracked by 12 use cases

False positive reduction

Reduction in alerts that turn out not to be real risk.

7 reported values · tracked by 22 use cases

Detection improvement

Increase in genuine fraud, risk or defects detected.

6 reported values · tracked by 23 use cases

Response time reduction

Reduction in time to first meaningful response.

6 reported values · tracked by 23 use cases

Satisfaction uplift

Relative improvement in a satisfaction score attributed to the use case.

6 reported values · tracked by 7 use cases

Employee adoption

Share of the target employees who use the tool regularly.

5 reported values · tracked by 18 use cases

Customer satisfaction

Share of customers satisfied with the interaction (CSAT).

4 reported values · tracked by 49 use cases

Error reduction

Reduction in errors, rework or quality defects.

4 reported values · tracked by 23 use cases

Time to repair reduction

Reduction in mean time to detect or repair incidents and faults.

4 reported values · tracked by 7 use cases

Alert volume reduction

Reduction in the number of alerts that need human review.

3 reported values · tracked by 5 use cases

Energy savings

Reduction in energy used by the equipment or process the AI controls.

3 reported values · tracked by 3 use cases

Fraud loss reduction

Reduction in money lost to fraud or scams.

3 reported values · tracked by 10 use cases

Revenue uplift

Relative increase in revenue attributed to the use case.

3 reported values · tracked by 15 use cases

Churn reduction

Relative reduction in customers leaving.

2 reported values · tracked by 8 use cases

First contact resolution

Share of requests resolved in the first contact.

2 reported values · tracked by 9 use cases

Quality score uplift

Relative improvement in an internal quality or compliance score.

2 reported values · tracked by 3 use cases

Recovery uplift

Relative increase in overdue amounts or accounts recovered.

2 reported values · tracked by 2 use cases

Customer savings

Money customers saved or set aside because of the use case.

1 reported values · tracked by 1 use cases

Fraud losses prevented

Money kept from fraudsters or scammers by the use case.

1 reported values · tracked by 2 use cases

Time to proficiency reduction

Reduction in the time new staff need to reach full productivity.

1 reported values · tracked by 2 use cases

Escalation reduction

Relative reduction in cases escalated to a higher tier or a specialist.

0 reported values · tracked by 1 use cases

First time fix rate

Share of field visits or repairs resolved in the first attempt.

0 reported values · tracked by 1 use cases

Forecast accuracy

Accuracy of a forecast against the actual outcome.

0 reported values · tracked by 3 use cases

NPS change

Change in Net Promoter Score attributed to the use case.

0 reported values · tracked by 3 use cases

Revenue recovered

Money recovered or leakage found and stopped because of the use case.

0 reported values · tracked by 1 use cases

Search time reduction

Reduction in time staff spend looking for information.

0 reported values · tracked by 3 use cases