Comply
Transaction Monitoring
Drive operational efficiency and reduce maintenance costs with our advanced detection engine.
Transaction Monitoring, powered by Tookitaki, enables you to comply with local regulations, reduce false positives and respond faster to emerging threats. We partner innovative AI technologies with a global team of Anti-Money Laundering (AML) experts, to ensure fast and accurate alerting.
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What problem does Transaction Monitoring solve?
Transaction Monitoring leverages AI to detect suspicious transaction patterns.
Our innovative approach delivers complete risk coverage, with typologies curated by a global network of AML experts. This enables high-quality alert generation, reduces false positives and drives efficiency in compliance – especially when it comes to meeting local AML regulations.
It also enables financial institutions to reduce high maintenance costs by automating threshold tuning and scenario testing processes. Plug into Transaction Monitoring to make your compliance more thorough, efficient and cost-effective.
Transaction Monitoring with Thunes: key benefits
Complete risk coverage
Leading insight from a team you can trust. Our financial crime typologies are curated by a global community of AML experts
Fewer and high-quality alerts
Monitoring that does the hard work for you. Drive efficiency in your monitoring, with better reporting and a reduction in false positives
Faster expansion
Reach new customers, more quickly. Deploy new typologies in days instead of months with an automated simulation mode
Transaction Monitoring features
Powerful Detection Engine
Advanced detection engine that automatically generates risk indicators from typologies and accurately detects hidden suspicious transactions.
Built-in simulation mode
Powerful sandbox functionality that fully automates test/retest of new scenarios and threshold tuning.
Machine learning-based alert prioritisation
Advanced ensemble machine learning that learns from historical data and accurately classifies alerts into high, medium and low-risk levels, reducing false positives.
Self-learning mechanism
Built-in champion challenger framework that learns from changing customer data and investigator feedback to provide consistent and accurate results.
Glass-box AI model for complete transparency of alert results
Our proprietary Explainable AI (XAI) framework provides multi-level visibility and clearly explains the output of the machine learning model, to help investigators and auditors.
Automated STR reports that supports goAML reporting
Automated reporting using customisable STR templates that meet local regulations and goAML standards.
Talk to an expert
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