Commerzbank and Hawk, a provider of anti-fraud and anti-money laundering (AML) technologies, are collaborating to optimize internal banking processes using AI.
The bank has deployed Hawk’s “AML AI Extended Risk Model” to complement its existing rule-based compliance systems, aiming to improve the detection of financial crime while meeting regulatory requirements.
The initiative forms part of Commerzbank’s broader strategy to apply AI across customer and market processes.
“Given the complexity of the landscape, we can only successfully combat financial crime with the help of AI. It is a high strategic priority for us to proactively and continuously expand our compliance system architecture,”
said Viktor Kraus, Cluster Lead Global Financial Crime Prevention Platform at Commerzbank.
Hawk’s extended risk model enables banks to use advanced AI models without requiring major upgrades to existing technology.
The software integrates with legacy systems through an integration layer, improving alert accuracy, reducing false positives, and detecting new patterns of money laundering or fraud.
The implementation also expands software validation to include stronger AI model governance.
“Banks must adapt to new threat scenarios in money laundering. Our AI-driven solution helps achieve this,”
said Tobias Schweiger, CEO of Hawk.
He added that the platform enables compliance teams to improve the quality and transparency of money laundering detection and investigations, noting that the explainability of the AI models is particularly important for regulatory approval.
Featured image credit: Edited by Fintech News Switzerland, based on image by Tanu via Freepik
