Case Study: SoFi enhances fraud detection and risk management with evolv Consulting's AI-powered Risk Data Platform Chatbot

SoFi improves fraud detection accuracy to 90% with evolv Consulting

SoFi, a leading digital bank, faced the challenge of enhancing its Fraud Operations team's efficiency and accuracy in detecting and preventing fraud. The team needed an AI-powered solution to rapidly process large volumes of data, improve detection accuracy, and reduce manual workloads. To address this, SoFi partnered with evolv Consulting to develop a tailored solution for their Risk Data Platform.

evolv implemented an AI-driven chatbot for SoFi, utilizing Snowflake's Cortex and Arctic technologies. The solution automated data retrieval and analysis, streamlining the team's workflows. This resulted in significant improvements: monthly fraud strategy development increased from 15 to 25 plans, detection accuracy rose to 90%, and customer complaints dropped by 30%. The partnership with evolv successfully enhanced operational efficiency and strengthened SoFi's data-driven risk management.

SoFi