Preserving Customer Experience while Reducing Fraud
An innovative American financial technology company needed to find a way to combat waves of fraudsters using synthetic identities to mass register fraudulent new accounts and request loans that were never paid.
A few obstacles stood in their way:
- Stopping fraud without negatively impacting customer experience.
- Account and promo abuse overwhelmed their insourced fraud model.
- They needed to keep providing loans fast without interruption.
The Results
- 41%reduction in false positives.
- 320+fraud rings detected.
- 5xreview efficiency improvement.
![[BNPL Case Study] Improving CX and Catching More Fraud in POS Finance](https://cdn.prod.website-files.com/676b063e40f584398912ad1a/681cb44b73741133e928b51f_BNPL-Case-Study-Raising-the-Bar-for-Customer-Experience-and-Reducing-Fraud.png)
Interested in AML Compliance?
Don’t miss the Datos Case Study on DataVisor’s gold medal-winning AML platform.

Winning the Fight Against Fraud and AML Year After Year




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About DataVisor
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.

