As digital payments grow, so does the sophistication of fraud, challenging risk analysts with escalating complexity. This white paper unveils the Gen AI-Assisted Copilot within the RS IntelliEdge™ fraud detection solution—a transformative tool designed to optimize fraud alert investigations. By combining a Random Forest (RF) model for retrieval with a fine-tuned Large Language Model (LLM) for contextual responses, the copilot automates decision-making by classifying alerts, analyzing historical data, and predicting the next steps, and generates natural language recommendations, enabling analysts to address critical, high-priority cases efficiently. This innovative system significantly reduces manual workloads, enhances operational efficiency, and improves the speed and accuracy of fraud detection and resolution—thus staying ahead in the fight against fraud.