Hawk, a provider of AI-powered anti-money laundering (AML), screening and fraud prevention solutions, has launched its AML Investigative Agent, designed to help financial institutions significantly reduce the cost of their AML operations.
The new tool automates a range of labour-intensive investigation tasks, including data gathering, case summarisation, typology identification and the drafting of Suspicious Activity Report (SAR) narratives. By removing the manual heavy lifting from compliance workflows, financial institutions can scale their operations without a proportional increase in headcount, and pursue revenue growth or new product launches without being constrained by manual investigation limits.
The AML Investigative Agent offers seamless integration through a model-agnostic, modular overlay approach that slots into existing tech stacks and case management solutions. It can extract workflows from existing operating procedures and includes built-in human-in-the-loop controls that pause execution at defined steps for human review, approval or input.
The tool also features deep AML typology expertise through continually updated domain knowledge, allowing it to identify financial crime patterns with a precision that generic AI cannot match. In addition, it provides regulatory-grade explainability through chain of thought visualisation, confidence scores, citations and detailed action logs.
Hawk describes its platform as AI-native and says it is already used by banks and payment organisations globally to stay ahead of financial crime. The company says its approach combines traditional rules with explainable AI to improve the effectiveness of financial crime and compliance programmes, identifying more crime while reducing false positives.
The launch is supported by data from Chartis, whose report — AI in Financial Crime & Compliance – Charting the Path from Pilot to Maturity — found that 85% of institutions expect to increase agentic AI investment over the next two to three years, 61% rank investigations as the number one area to be transformed by agentic AI, and 21% of global banks report they are already using agentic AI for investigations and case management.
Hawk chief product officer Wolfgang Berner said, “The cost savings offered by agentic AI in financial crime and compliance are simply too compelling for any bank or payment firm to ignore. Using agentic AI to support parts of every investigation delivers benefits that scale very quickly, bringing impactful results to financial institutions of all sizes.”
He added, “Hawk is unique in our ability to use AI to solve two big AML challenges: improving detection quality to reduce false positives, and significantly cutting the time required to deliver well-structured investigations for the cases that matter. Hawk delivers both with the rigorous explainability that is non-negotiable for regulators.”
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