ACTICO Anti-Money Laundering
More security in the fight against money laundering with modern technology: a boon for business and IT
ACTICO Anti-Money Laundering: this is the next-generation software for preventing money laundering by detecting suspicious payments, behaviour patterns and customer relationships. It was developed based on state-of-the-art technologies. With our cloud-first approach, AI-ready and flexible workflows, you are ideally equipped for the future.
Key points at a glance:
A dashboard for compliance officers: modern user interfaces typically facilitate these things: An overview of all employee tasks, priority evaluations of case portfolios and individual access to relevant cases
Combating money laundering with rules and machine learning models and increasing efficiency
Recognising conspicuous transactions and patterns with rules
ACTICO software is delivered with basic scenarios in which transaction and personal data are checked against rules. As soon as an anomaly occurs, the system generates a notification for the money laundering officers and starts a workflow for further processing of these “hits”.
Machine learning to reduce false positives and increase efficiency in hit processing
Machine learning is the innovation in compliance for reducing false positives. Machine learning models are trained automatically from historical, clarified cases. The result of the cases (matching or non-matching) is used as a label.
Customer segmentation automatically analyses bank/insurance company data and divides customers into clusters based on their behaviour, risk profile and other factors. The analysis can automatically identify different clusters of customers and recognise certain characteristics or patterns in the data.
For banks and insurers, machine learning is an innovative, forward-looking tool that can help them reduce costs and gain a competitive edge.
The proof of concept (POC) established by ACTICO with a retail bank rubber-stamped the immense potential of AI as a means of reducing false positives in the battle against money laundering. A validation dataset demonstrated the potential to eliminate around 40% of false positive cases
You can find more details in our whitepaper: AI-powered fight against money laundering.
„In order to gain transparency on customers and to remain audit-proof, KfW performs an automated comparison of its customer data with name lists. This sanctions lists check is the basis for the risk assessment.”
Senior Regulatory Law/KYC Consultant | KfW
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