How can AI enhance anti-money laundering processes?
AI brings with it a brand-new generation of financial crime. Criminals can use technology to implement their schemes at unprecedented scale and speed, leaving financial institutions vulnerable. And while this apparent threat is on the horizon, the current situation isn’t much better. Between $800 billion and $2 trillion USD is laundered globally every year.
Banks, payment processors, and FinTechs continue to be challenged by cumbersome AML processes, the sheer volume of transactions to monitor, and changing regulatory requirements.
The answer? To fight fire with fire and use AI and machine learning as a defense against financial crime.
Join Hawk AI and a select group of industry peers for this Meet the Boss digital roundtable discussing how to ease the risk management process, improve transaction monitoring and drive efficiency in AML processes.
Event host
Tobias Schweiger
About Hawk AI
Hawk AI helps banks, payment companies and Fintechs fight financial crime with AML and fraud surveillance. Powered by explainable AI (patent-pending) and cloud technology with a core focus on information sharing, Hawk AI improves the efficiency and effectiveness of anti-financial crime teams. Fully modular, cloud-native, and enhanced with machine learning, Hawk AI makes customer and transaction surveillance more efficient and ensures regulatory compliance. Using traditional rules combined with artificial intelligence to detect suspicious behavior in real-time, Financial Crime specialists can investigate true instances of suspicious activity. The solution drastically reduces false positive rates by over 70% compared to legacy AML/CFT solutions. Founded in 2018 by experienced Fintech veterans, the company has scaled globally, processing billions of transactions across 60 countries. Hawk AI works with leading financial institutions and partners such as North American Bancard, Moss, Banco do Brasil Americas, Mambu, Visa, and Lexis Nexis.
Discussion topics
How are you monitoring transactions and customers for money laundering and financial crime?
How are you managing the growing costs of AML compliance?
Where does AI factor into your AML monitoring processes?
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Thank you for your interest. One of the team will be in touch soon.
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