Anti-Money Laundering (AML),

Financial Crimes Compliance  

 
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Improve your effectiveness in detecting suspicious behaviours from criminal parties, politically-exposed persons (PEP) and high risk regions within your daily banking transactions – in real time.

Banks, Payment Companies, Building Societies and those that must be compliant with Anti-Money Laundering regulations including the EU 5th AML Directive can see significant results with FatBrain AI AML Automation, including:

  • 80% reduction in False Positives for investigation
  • Consolidate scenario models
  • Less than 7 days to deploy new scenario models
  • Quantify party risk
  • Integrate with existing infrastructure and processes

How it Works

The FatBrain AI- AML framework scores each party for AML risk, while reducing false positives and auto- discovering new anomalies across transaction screening and monitoring boosted by watchlist / public risk intelligence using text, numeric, network and video data. FatBrain AI-AML leverages advances in machine learning to enable sustained auditability with explainable, transparent quantification and de-biasing using blockchain trust.






“Managing AML risk dynamically based on emerging risk appetite automatically compatible with known scenarios always felt out of reach. Not anymore. FatBrain’s AI-boosted solution expanded our automated detection capabilities, subsuming expensive manual processes entirely. And its auditable, explainable framework satisfied all AML stakeholders. Engaging at the outset with our internal Model Risk Management team as well as the external regulators was critical and went a long way to the acceptance of the unified framework and improved effectiveness.”
Global Bank selects FatBrain
Global Top 10 Bank
Global Head of Financial Crimes Compliance
The end-to-end FatBrain AI AML Automation platform enables the entire Financial Crimes and AML Compliance team more effective in stopping and reporting Financial crime:
  • Head of Financial Crimes, Head of AML
  • MLRO
  • Compliance investigator
  • Financial Crime Quantitative Analyst
  • AML Auditor and Compliance Manager

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