KPI benchmark
How much fraud does AI prevent?
Money kept from fraudsters or scammers by the use case.
How to measure it
Value of transactions stopped or recovered that were confirmed as fraud, over a stated period.
Across the library
1 reported value (currency), listed per use case below. Absolute volumes depend on organization size and are not pooled.
1 reported value (currency), listed per use case below. Absolute volumes depend on organization size and are not pooled.
1 reported value (currency), listed per use case below. Absolute volumes depend on organization size and are not pooled.
Higher is better. Unit: currency.
Reported values by use case
AI for insurance claims fraud detection
- AXA Switzerlandat least EUR 12 million · vendor claim
AI for insurance claims fraud detection
- Jubilee HoldingsKES 750 million · organization claim
AI for merchant underwriting and risk monitoring
- Cherry Technologiesabout USD 100,000 · organization claim
Use cases that should track fraud losses prevented
Frequently asked questions
- How do you measure fraud losses prevented?
- Value of transactions stopped or recovered that were confirmed as fraud, over a stated period.
- Where do these fraud losses prevented numbers come from?
- From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median.