ThetaRay has launched Ray, an Agentic AI AML investigation suite designed to transform how financial institutions conduct transaction monitoring investigations amidst evolving global regulatory standards and increased Anti-Money Laundering (AML) scrutiny.
Embedded within the ThetaRay Investigation Center, Ray extends the company’s Cognitive AI capabilities from detection to investigation. The suite combines autonomous investigative execution with on-demand analyst support, aiming to significantly improve case resolution times and enhance consistency across investigation teams and jurisdictions. Ray is designed to establish a consistent reasoning framework throughout the investigation process, ensuring each case meets rigorous scrutiny.
Global regulators are increasingly emphasizing higher standards for investigative quality and documentation. The European Union’s new Anti-Money Laundering Regulation (AMLR) and the broader AML Authority framework mandate unified rulebooks, stronger due diligence, more rigorous monitoring, comprehensive record-keeping, and consistent compliance controls. In the United States, FinCEN’s AML and Counter Financing of Terrorism (CFT) priorities underscore the necessity for transparent, evidence-based investigations and well-supported Suspicious Activity Report (SAR) narratives. These shifts have created a compliance landscape where financial institutions face heightened investigation pressure, with surging alert volumes and regulatory expectations for higher quality, documentation, and defensible decisions, while investigation teams grapple with manual data gathering, inconsistent case narratives, and complex cases.
Ray addresses this operational gap by automating several investigative tasks, including evidence collection, behavioral and counterparty analysis, open-source checks, document review, and narrative generation. It also integrates an on-demand AI assistant that supports human analysts with questions and deeper exploration. The suite autonomously manages the full investigation lifecycle, from data aggregation to geolocation validation, pattern analysis, counterparty evaluation, and adverse-media scanning, ultimately preparing a structured, audit-ready case file document. The embedded AI assistant further aids the review and escalation process by answering analyst questions, validating assumptions, running additional checks, summarizing documents, and providing contextual visualizations such as charts and graphs for supporting evidence.
Moshe Siman-Tov, Chief Operating Officer at ThetaRay, stated, “For years the industry tried to modernize investigations with faster detection engines or better interfaces. But the real bottleneck has always been the investigation itself. Ray is one of the first Agentic AI suites built to take that burden on to enable analysts to do their best work. Banks and fintechs have incredibly capable investigators; what they lack is capacity. Ray restores that capacity. It becomes a partner that handles the complexity so analysts can stay focused on judgment.”
David Shapiro, Regulatory Affairs Manager at ThetaRay, commented on the system’s consistency: “Manual investigations inevitably vary from analyst to analyst. Ray introduces a consistent reasoning framework across the entire operation, reducing subjectivity, and ensuring that each case, no matter who handles it, stands up to scrutiny. Most importantly, Ray was built so that every decision is traceable back to evidence. In a regulatory environment that demands transparency, AI explainability is the foundation.”
Ray is built and deployed on Microsoft Azure, leveraging Azure OpenAI Service and Azure Kubernetes Service (AKS) to facilitate secure, scalable agentic investigations. Tyler Pichach, Global Head of AI Strategy and GTM for Payments and Banking at Microsoft, noted, “Financial institutions are moving beyond experimentation toward real, production-grade use of Agentic AI in compliance-critical environments. Platforms like Ray demonstrate how Agentic AI, when deployed on a secure and governed cloud like Microsoft Azure, can help banks modernize complex investigation workflows while meeting regulatory expectations for transparency, control, and trust.”
This architecture is designed to help institutions reduce manual investigation time by up to 70%, while simultaneously improving consistency, transparency, and auditability. The goal is to empower compliance teams to proactively meet stricter global AML regimes with increased confidence, consistency, and scale.
Brad Levy, CEO of ThetaRay, expressed the company’s broader mission: “This is an incredibly important moment for us and for the industry. I couldn’t be more energized by the opportunity to tackle one of the biggest challenges in financial crime compliance. Our mission is simple: to help make global markets more modern and secure for all. The future will be shaped by people who care and by megatechs and specialized fintechs working closely together to raise the bar for transparency, accountability, and lasting trust.”
Ray is available immediately within the ThetaRay Investigation Center. The agentic investigation suite is intended for banks, fintechs, and payments platforms managing high alert volumes, lean compliance teams, and increasing regulatory demands.
ThetaRay, headquartered in New York, develops Cognitive AI solutions for financial crime compliance, enabling financial institutions to identify legitimate customers while detecting illicit activities. Its SaaS solutions aim to overcome the limitations of traditional rule-based systems, shorten implementation cycles, and enable efficient, risk-aware compliance operations. The company’s technology is implemented at various financial institutions globally, including Santander, Clear Bank, Mashreq Bank, Payoneer, Onafriq, and Travelex.
