Managed Fraud Detection Operations
>97.5% detection rate across 18 months
Client Context
A payment processor that engaged us to build their fraud detection system and then transitioned to managed operations for ongoing management.
The Challenge
After initial deployment, the processor lacked the internal expertise to monitor model performance, retrain on evolving fraud patterns, manage infrastructure scaling during peak periods, and maintain regulatory compliance. They needed production AI operations without building a large internal team.
Our Approach
We operate the complete fraud detection pipeline: continuous model performance monitoring, automated retraining when new fraud patterns emerge, infrastructure autoscaling during peak transaction periods, monthly performance reporting, and quarterly model reviews with the client’s risk team.
Timeline: Ongoing (18+ months)
The Results
- Fraud detection rate maintained above 97.5% across 18 months
- Continuous adaptation to new fraud patterns
- Infrastructure scaled seamlessly during 3x peak periods
- Monthly performance reports and quarterly business reviews
- Zero compliance incidents
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