North American Bancard (NAB), a leading payments technology company, provides end-to-end infrastructure that allows clients to offer a range of globally preferred payment types. NAB’s diversified platform accommodates mobile, online, and in-store environments and processes over $45 billion worth of electronic payments annually through credit, debit, and pre-paid cards, as well as ACH payments.
Serving hundreds of thousands of clients across the merchant economy, NAB has grown rapidly through both organic initiatives and M&A, having completed 10 acquisitions over the past 10 years. To facilitate growth and address strict transaction-monitoring requirements related to AML regulations, NAB required a cloud-native solution to support several existing payment systems and data sources, as well as entry into new industry verticals.
Through Hawk AI’s centralized money-laundering detection platform, NAB implemented an end-to-end compliance solution – from transaction monitoring and investigation to filing and audit trails – in just four months
Processed annually
annual transaction volume
versus standard rules
to full implementation
“We tested and benchmarked many different systems in the marketplace and found Hawk AI to be a clear technology leader. In the payment processing business, you need flexibility, speed, and the ability to scale. The Hawk AI system delivers all those things. Their team has built leading-edge technology and applies a balanced approach between rules and AI.”
– Jim Parkinson, Chief Experience Officer North American Bancard
AI helps your exports spot anomalies and detect unknown crime patterns
70% false positive reduction, your team can focus on priority tasks
All stakeholders can easily understand and trust out system's results
Built with deployment options that can be customised to your needs.
Monitor any transaction for red flags using a comprehensive set of rules in combination with Behavioral Analytics.
Screen customers against Sanctions, PEP, watchlists, and adverse media during onboarding and thereafter.
Dynamically score customer risk using internal and external data. Add behavioral analytics for richer context.
Screen counterparties against Sanctions and Country lists in real-time. Cleanse data and tune name-matching.
