ThetaRay Launches Ray AI Suite for Faster AML Investigations

January 29, 2026
ThetaRay has introduced Ray, an agentic AI suite designed to automate and standardize anti-money laundering (AML) investigations, built on Microsoft Azure for scalability and compliance.

ThetaRay has launched Ray, an agentic AI suite designed to automate and standardize Anti-Money Laundering (AML) investigations, announced in a press release. The system is embedded within the ThetaRay Investigation Center and extends the company’s Cognitive AI capabilities from detection into full investigation workflows.

Ray automates key investigation processes such as data aggregation, evidence collection, behavioral analysis, and case documentation. It produces regulator-ready files and includes an on-demand AI assistant that supports analysts with follow-up checks, document summaries, and assumption validation. The suite ensures consistent reasoning and traceable decision-making across teams and jurisdictions.

Built and deployed on Microsoft Azure, Ray integrates Azure OpenAI Service and Azure Kubernetes Service to enable secure, scalable operations. According to ThetaRay, financial institutions using Ray can reduce manual investigation time by up to 70% while improving consistency, transparency, and auditability.

Ray is available immediately within the ThetaRay Investigation Center for banks, fintechs, and payment platforms managing high alert volumes and increasing regulatory demands.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Governing the Future: A Strategic Framework for AI Adoption in Financial Institutions

This whitepaper explores the transformative impact of artificial intelligence on the financial industry, focusing on the governance challenges and regulatory demands faced by banks. It provides a strategic framework for AI adoption, emphasizing the importance of a unified AI approach to streamline compliance and reduce operational costs. The document offers actionable insights and expert recommendations for banks with fewer than 2,000 employees to become leaders in compliant, customer-centric AI.

Read more