Real-Time ML Fraud Detection for a Global Payments Platform
Global Payments Co.
The Outcome
Rebuilt the ML pipeline with real-time feature stores and online inference, reducing fraud losses by $12M annually.
The Challenge
Processing 50M+ daily transactions with sub-100ms fraud scoring using legacy batch ML models.
Our Approach
Our team conducted a thorough discovery process, reviewing existing architecture, interviewing key stakeholders, and benchmarking current performance. From there, we designed a phased implementation plan that minimized disruption while delivering early wins.
The Solution
We designed and built a production-grade system tailored to this client's specific requirements and constraints. The architecture prioritized reliability, scalability, and operational simplicity — so the client's team could own and evolve it after our engagement.
Results
Rebuilt the ML pipeline with real-time feature stores and online inference, reducing fraud losses by $12M annually.
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