In the evolving landscape of financial services, reliance on manual review alone is no longer viable for detecting risks and ensuring compliance, as firms contend with vast amounts of communication data that must be monitored to prevent financial crime and misconduct. A collaboration between Fingerprint and Elastic addresses these challenges by integrating explainable AI and unified data architectures, enabling firms to process millions of communications efficiently. This approach not only enhances compliance oversight from a mere 2%-3% to full coverage but also reduces costs and boosts productivity for compliance teams through automation. As global regulatory demands increase, financial institutions are investing heavily in AI-driven tools to navigate complex environments, with Gartner projecting a doubling of such investments by 2027. Unifying data sources and leveraging AI, as demonstrated by FICO's use of Elastic for advanced analytics, allows for real-time risk detection and improved decision-making, marking a significant shift in how financial services manage compliance and risk.