Hawk, an AI-powered provider of anti-money laundering (AML), screening and fraud prevention solutions, has announced the launch of Analytics Studio, a new AI lifecycle management solution designed to give banks and payment companies greater control over how their AI models are built, governed and maintained.
The launch comes as the adoption of AI across financial services continues to accelerate, with the majority of banks now encouraging its use.
As AI becomes more embedded in financial crime prevention, the ability to rapidly develop, update and govern models in line with regulatory expectations and evolving crime typologies has become a central challenge for compliance teams.
Analytics Studio is designed to streamline AI model development and retraining, offering anti-financial crime teams flexibility in how they manage models across their lifecycle. Financial institutions seeking full control and visibility can use expert-designed financial crime model templates, copilot-guided model creation tools, pre-built AI performance dashboards and automated documentation features aimed at accelerating regulator-ready model deployment.
In addition to in-house model management, organisations can choose to leverage Hawk’s data science services for both initial model development and ongoing maintenance and retraining.
Through Analytics Studio, financial institutions can build and update regulator-ready expert models with reduced reliance on specialist resources, helping to lower costs and increase speed.
The solution also enables firms to embed financial crime domain intelligence directly into their models, improving performance and reducing overall risk exposure. Governance, explainability, documentation and versioning are incorporated throughout the AI lifecycle, making models easier to approve and audit.
Commenting on the launch, Hawk chief product officer Wolfgang Berner said, “Hawk customers already benefit from AI models that have been outperforming the market for years, finding double the crime with half the investigative effort. With Analytics Studio, we are now giving financial institutions the flexibility to manage the entire model lifecycle themselves—from development and validation to ongoing optimization—so they can take their AI capabilities to the next level with speed and regulatory confidence.”
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