Managed Fraud Detection Operations

Client Context

A payment processor that needs their fraud detection system built and then managed on an ongoing basis — without building a large internal team.

The Challenge

After initial deployment, the processor lacks the internal expertise to monitor model performance, retrain on evolving fraud patterns, manage infrastructure scaling during peak periods, and maintain regulatory compliance. They need production AI operations without the overhead of 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%
• Continuous adaptation to new fraud patterns
• Infrastructure scales seamlessly during 3x peak periods
• Monthly performance reports and quarterly business reviews
• Zero compliance incidents