Tookitaki Powers AI-Driven Anti-Money Laundering Solution Using HPE GreenLake

Leading regulatory compliance tech company and HPE Technology Partner, Tookitaki, leverages HPE GreenLake to deliver enhanced AI and machine learning-based anti-money laundering solution to financial institutions across Asia-Pacific

Hewlett Packard Enterprise announced a key collaboration with Tookitaki, a leading provider of compliance solutions for the financial services industry, to provide a new offering designed for banks and financial institutions across Asia-Pacific. The new offering delivers Tookitaki’s artificial intelligence (AI) powered anti-money laundering (AML) solution in a secure and flexible as-a-service consumption model using HPE GreenLake for Big Data.

The new solution enables financial institutions to create a central big data platform that can perform AML data analytics and enable AI AML solutions. Delivering the solution as a service through HPE GreenLake affords banks the agility, flexibility and scalability of a cloud experience while providing increased control, cost effectiveness and governance when deploying AI-optimized infrastructure platforms and solutions on-premises. UOB, a leading bank in Asia, is the first financial institution in the world to have chosen Tookitaki’s AML solution on HPE GreenLake to enhance the bank’s AML system through AI. UOB customized Tookitaki’s AI solution to meet the bank’s needs.

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Through the collaboration with Tookitaki and HPE, UOB was able to pioneer an AI-enhanced AML system which concurrently applies two AML risk dimensions – transaction monitoring and name screening. UOB screens 60,000 account names monthly using the technology to determine if they belong to the individuals or entities on global regulatory watch lists. UOB’s AI-enhanced AML system can now pinpoint more accurately higher-priority cases from the more-than 5,700 average monthly suspicious transaction alerts flagged¹. This enables the bank to deploy more deliberately and swiftly the necessary resources in investigating potential money laundering attempts. The models used for name screening and transaction monitoring have achieved 96% prediction accuracy in the ‘high priority’ category.

“Moving from a successful pilot to implementation with UOB is a testament to our collaboration with HPE to optimize machine learning-powered anti-money laundering solutions for financial institutions,” concluded Abhishek Chatterjee, Co-Founder & CEO, Tookitaki, “Together with HPE’s deep domain expertise in big data as-a-service and developing solution blueprints to rapidly design and deploy AI solutions, our systems use a combination of distributed data-parallel architecture and machine learning to ensure scalability across multiple layers of technologies and systems. Banks are able to benefit from this collaboration by implementing high module accuracy systems to ensure they are staying compliant at a time when organizational growth and business continuity are crucial to success.”

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Following this successful collaboration with UOB, HPE and Tookitaki are poised to support other banks and financial institutions across Asia-Pacific, who are seeking the business benefits of an enhanced AML solution delivered with the flexibility of an as-a-service model.

“By complementing Tookitaki’s expertise in regulatory compliance with our data analytics platform and our as-a-service offering, HPE GreenLake, we are able to seamlessly bring real world AI solutions that can yield business outcomes to our financial institution customers across the region,” said Khai Peng Loh, Hewlett Packard Enterprise’s General Manager of Asia Pacific Solution Sales. “We look forward to helping our customers better manage regulatory risks.”