TeamX was building an AI-driven fraud detection system to help businesses minimize losses. Their core feature assigned risk scores to entities while generating alerts based on patterns. We explored how alerts were triggered, what actions users could take, and refined the rule-based system to enhance fraud detection and prevention.

Design a streamlined workflow for analysts that enhances their ability to understand and resolve alerts with confidence. The solution should provide clear guidance, actionable insights, and intuitive navigation, enabling them to efficiently assess alerts, take necessary actions, and seamlessly transition to the next alert.

With these refinements, the product became more robust, and its core features were now more intuitive. The result? We got the data form the product team that the Analysts could solve 60% more fraud scenarios than before in a day! Meanwhile, our dev team continued to refine AI-generated insights, making them even more accurate and valuable to users.