The most important feature in a fraud case management tool for improving investigation efficiency and fraud detection accuracy is an AI-driven case linking and contextual investigation engine, as it intelligently connects seemingly unrelated fraud signals—such as transactions, user behavior, device patterns, and past case histories—into a single, structured investigation flow, allowing analysts to instantly see hidden relationships and fraud networks that would otherwise be missed in manual review; this not only speeds up the entire investigation process by reducing the need to cross-check multiple systems but also significantly improves detection accuracy by uncovering complex fraud patterns early and helping teams prioritize the most critical cases with better clarity and confidence.