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Oracle Introduces AI Agents to Combat Financial Crime

Oracle

New agentic AI capabilities in Oracle Investigation Hub can reduce manual work to help uncover and thwart financial schemes faster

Oracle Financial Services has strengthened its Investigation Hub Cloud Service by integrating advanced AI agents and agentic workflows, empowering financial institutions to automate investigative processes and detect complex financial crime patterns more efficiently. These AI-driven enhancements accelerate the review of suspicious activity by leveraging generative AI-powered narratives, allowing investigators to focus on high-priority cases while reducing manual workload.

Now available globally, these cutting-edge AI capabilities enhance the Investigation Hub crime and case management solution, making it a powerful tool for financial institutions of all sizes.

“The addition of agentic AI capabilities to our Investigation Hub Cloud Service represents a paradigm shift in financial crime investigations,” said Jason Somrak, head of financial crime product strategy, Oracle Financial Services. “Our unique generative AI approach follows investigative plans, collects evidence, and recommends actions while providing investigators with robust narratives documenting the findings. This enables firms to drive consistency in decision-making and thoroughly investigate all risks automatically while realizing massive operational efficiencies.”

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Revolutionizing Financial Crime Investigations with Agentic AI

Financial institutions are under increasing pressure to detect and mitigate sophisticated financial crime schemes while complying with evolving regulatory requirements. Traditional investigative methods often rely on time-consuming manual data collection and analysis, which can slow down investigations and increase the risk of human error.

Unlike AI chatbots that require investigators to ask specific questions, Oracle Financial Services’ AI agents proactively surface key insights, compile evidence, recommend actions, and generate comprehensive alert narratives. This automation minimizes inconsistencies caused by varying user inputs and ensures more reliable, data-driven investigations.

These generative AI-driven agents analyze alert information, including matches between customer data and sanction lists. They then generate detailed summaries of key findings, equipping financial crime and compliance investigators with actionable intelligence to conduct thorough investigations and make well-informed decisions.

With these innovations, Oracle Financial Services continues to lead the way in AI-powered financial crime detection, helping institutions enhance compliance, improve operational efficiency, and strengthen their investigative capabilities.