Commerzbank deploys AI to sharpen money laundering controls

Commerzbank has partnered with financial crime technology firm Hawk to deploy an artificial intelligence model within its anti-money laundering (AML) controls, as banks seek to reduce false alerts and strengthen detection of suspicious activity.

The arrangement adds Hawk's AML AI Extended Risk Model to Commerzbank's existing rules-based monitoring. Banks have long used rules engines to flag potentially suspicious transactions and behaviour, but these systems often generate large volumes of alerts that require manual review by compliance teams.

AI models are increasingly used to identify patterns that fall outside static rules. In practice, banks want fewer low-quality alerts and more cases that merit investigation. Industry efforts have also focused on model governance and validation, given regulatory scrutiny of automated decision-making.

Commerzbank has made the use of AI in financial crime prevention a strategic priority within its broader compliance architecture. "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.

How it fits

Hawk's model is intended to supplement existing controls rather than replace them. This reflects how many large institutions introduce machine learning into monitoring environments that still rely on legacy tooling and established rule sets.

Hawk says its software connects to older technology through an integration layer, reducing the need for repeated changes to underlying rules-based systems when the AI model is updated or refined.

Commerzbank reports the deployment has already changed alert handling, with higher "targeting" accuracy and fewer false positives-reducing routine review work on low-risk alerts.

It also reports detecting more novel cases of money laundering or fraud since implementation, as financial institutions look for ways to recognise new typologies not captured by predefined rules.

Model governance

Alongside detection improvements, Commerzbank has expanded software validation processes to include AI model governance. This has become a key part of discussions between banks and supervisors, particularly where models influence case generation and prioritisation.

Hawk emphasised explainability in its product design. "Our software enables compliance teams to improve the quality and transparency of money laundering detection and investigations," said Tobias Schweiger, CEO of Hawk. "In this context, the explainable nature of our AI plays a central role - particularly regarding regulatory approval."

Schweiger also framed the partnership as a response to changes in criminal behaviour. "Banks must adapt to new threat scenarios in money laundering. Our AI-driven solution helps achieve this," he said.

Compliance pressure

AML compliance remains one of the most resource-intensive areas for banks, with significant spend on monitoring, investigations, reporting, and control testing. Many institutions have increased investment in transaction monitoring technology as enforcement actions and expectations around effective systems continue to rise.

Commerzbank's Group Chief Compliance Officer linked the project to the bank's positioning in the market. "Commerzbank is using its position as a pioneer to conduct its fight against money laundering in an even more targeted manner. The collaboration with Hawk is a vital step in this direction," said Hans-Georg Beyer.

The partnership adds to a growing list of deployments in which banks blend rules with machine learning models. The approach aims to preserve the control and auditability of rule frameworks while using AI to improve prioritisation and highlight risk patterns that may not fit preset thresholds.

Hawk provides anti-fraud and AML technology to banks and payment providers. Its product combines rules and explainable AI, which it says improves effectiveness while reducing false positives.

Commerzbank plans to continue expanding its compliance system architecture as it adapts to regulatory requirements and the evolving financial crime landscape.