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Ray is an agentic AI–powered investigation suite designed to transform AML case handling by automating investigative tasks, standardizing decisions, and accelerating case resolution. It enhances analyst productivity by conducting evidence gathering, behavioral analysis, counterparty checks, and narrative generation while keeping analysts fully in control. Ray delivers consistent, audit‑ready investigations across jurisdictions.

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Product details

Ray – Agentic AI AML Investigation Suite

Ray is an agentic AI–powered investigation suite designed to transform AML case handling by automating investigative tasks, standardizing decisions, and accelerating case resolution. It enhances analyst productivity by conducting evidence gathering, behavioral analysis, counterparty checks, and narrative generation while keeping analysts fully in control. Ray delivers consistent, audit‑ready investigations across jurisdictions.

Features

  • Automated evidence collection and data aggregation across multiple sources
  • Behavioral, transactional, and counterparty analysis with AI‑driven insights
  • Agentic workflows that perform investigative steps end‑to‑end
  • Integrated adverse‑media checks and open‑source information review
  • Automated narrative creation with consistent, regulator‑ready formatting
  • Real‑time AI assistant for analyst queries and deeper exploration
  • Unified investigation workspace for L1/L2 case handling

Capabilities

  • Execute full AML investigations autonomously while allowing analyst oversight
  • Standardize investigative reasoning across teams, regions, and regulatory frameworks
  • Identify hidden networks, anomalies, and risk patterns at scale
  • Validate identities, geolocation data, and behavioral indicators
  • Reduce manual workload by automating repetitive research and documentation
  • Integrate into existing AML platforms to enhance monitoring and investigation continuity
  • Support cross‑border, high‑volume, and complex AML use cases with consistent outputs

Benefits

  • Faster case resolution through automated data gathering and analysis
  • Greater investigative consistency regardless of analyst skill or location
  • Reduced operational burden, freeing analysts to focus on complex decisions
  • Higher quality, audit‑ready output that meets global regulatory expectations
  • Improved detection accuracy and reduction of investigative errors
  • Enhanced institutional trust through standardized, transparent reasoning
  • Increased scalability for growing alert volumes and regulatory demands
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