Resources
Insights for financial crime teams
Customer stories, white papers and blog posts on AI-native risk decisioning, from the teams running financial crime compliance at scale.
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Customer story
Transaction monitoring
Scaling transaction monitoring for 10x growth
How ClearBank slashed investigation times from months to minutes and eliminated operational noise with ThetaRay's AI.
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Customer story
Transaction monitoring
Scaling AML monitoring across $200B+ volume
How Shift4 slashed false positives by 86% and reclaimed analyst bandwidth across $200B+ in annual volume.
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Customer story
Sanctions screening
AI sanctions screening powers cross-border payments growth
How Travelex scaled FX operations by ~40% with ThetaRay's end-to-end AI infrastructure to analyze complex, high-velocity transactions in real time.
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Customer story
Customer due diligence
AI customer due diligence cuts EDD 60%
AirPak replaced static country risk matrices with ThetaRay's AI customer risk assessment, cutting unnecessary EDD cases and onboarding friction across Latin America.
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Customer story
Transaction monitoring
Clicksendnow uncovers money laundering with AI
A fast-growing remittance operator replaced manual monitoring with ThetaRay Cognitive AI Transaction Monitoring and caught laundering schemes hidden in high-volume, low-value transfers.
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Customer story
Transaction monitoring
Correspondent banking proof of value in two days
A leading global bank tested ThetaRay Transaction Monitoring on several million raw SWIFT messages and went from data validation to alerts in two days.
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Customer story
AI investigation
FX leader cuts customer wait times 81% with Ray
By unifying a multi-vendor compliance stack under Ray, the institution cut automated investigations from 8 minutes to 91 seconds, so customers wait 81% less for a compliance decision.
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Customer story
Transaction monitoring
Global bank modernizes AML with machine learning
A global bank replaced the limits of its rules-based AML systems with ThetaRay machine learning, cutting false positives, surfacing unknown risks and gaining approval from its Central Bank.
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Customer story
Transaction monitoring
North American bank cuts false positive alerts
A ~$60 billion commercial bank layered ThetaRay machine learning on top of its rules-based transaction monitoring and saw alert hibernation rise from 15.5% to 77% within 3 weeks.
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Customer story
Transaction monitoring
Onafriq scales trusted payments with AI
The Pan-African payment network centralized alerts and screening with ThetaRay, going live in under three months to support rapid, compliant cross-border growth.
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Customer story
Transaction monitoring
New York bank transforms private banking triage
A New York bank with about $12 billion in assets added ThetaRay as a prioritization layer without changing its rules. On labeled historical data it halved false positives and caught every filed SAR.
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Customer story
Transaction monitoring
Miami bank modernizes retail banking AML
A Florida-headquartered bank swapped static rules for dozens of weighted risk indicators, and every alert now arrives with context, visual lineage and a rationale. Total alerts fell 45%.
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