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Real-Time FRAML at Scale: Turning Payment Risk Into Incremental Revenue

See how a leading payments processor turned fraud and AML from a cost center into a growth engine.‍

This case study shows how unifying FRAML in a real-time, multi-tenant platform helped a high-scale payments provider move faster, reduce losses, and unlock new revenue opportunities.

  • 35% reduction in fraud losses while supporting 60M+ transactions per month with ultra-low latency decisioning
  • 98% faster fraud strategy updates using no/low-code rules and ensemble machine learning to stay ahead of evolving attacks
  • New revenue enabled through multi-tenancy, onboarding 40+ sub-tenants and packaging fraud & AML as a value-added service

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    The Results

    60%

    Reduction in Fraud Losses

    60%

    Reduction in Fraud Losses

    60%

    Reduction in Fraud Losses

    The Results

    DataVisor Case Study - Real-Time FRAML at Scale: Turning Payment Risk Into Incremental Revenue _ Banner Image

    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

    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.