Sustainable
compliance
is
possible
Tookitaki combines machine learning, distributed systems, and business expertise to create the building blocks of sustainable compliance management.
in
Our Powerful Solutions
Anti-Money Laundering Suite (AMLS)
An award-winning, end-to-end, machine learning solution with modules around transaction monitoring & names screening. This solution complements current legacy systems, reduces false alerts, and detects ‘missed’ suspicious cases, finding the right balance between efficiency and effectiveness.
Reconciliation Suite (RS)
A proven, end-to-end, machine learning solution with modules around matching and substantiation. It can improve match rates, accurately detect exception types and recommend adjustment amount for automatic reconciliation. Result: High efficiency and quality in investigation process and lower cost of operations.
A trusted partner of global banks for enabling sustainable compliance
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
“The whole world of compliance has changed significantly from where it was 5 years back, mostly seen as an audit function. It moved from what we call KYC (Know Your Customer) to Know Your Transactions due to critical need of monitoring transactions to detect organized criminal cells. Solutions like Tookitaki AMLS can effectively monitor transactions for detecting emerging AML threats and help banks develop a robust compliance framework.”
Bala Swaminathan,
Advisory Board Member,
Westpac International
“The use of RegTech such as Tookitaki’s AMLS enables us to augment our ability to identify actionable alerts and to minimise false positives. These sharpen the accuracy and effectiveness of our AML risk management.”
Victor Ngo,
Head of Group Compliance,
United Overseas Bank, Singapore
“Machine learning has the ability to revolutionise the reconciliation space. Our engagement with Tookitaki dates back to May 2016, when we launched our Catalyst programme. Tookitaki is one of the few startups, with whom we collaborated to automate break reconciliation process in finance. The solution achieved promising results in production and helped bring in operational efficiency.”
Rathnaprabha Manickavachagam,
Head of Innovation & Digital Transformation,
Société Generale Global Solution Centre, India
News & Views
What a Real-Life Money Mule Teaches Us of Money Laundering Typologies
We speak to the victims on the other end of financial crime, to lift the lid on the red flags behind trafficking. We unpack how these signs go undetected and how financial institutions and banks can do more to uncover money laundering patterns. ...
Cryptocurrency Money Laundering: 5 Latest Compliance Developments
The discussions about the money laundering risks of cryptocurrency are seemingly on the rise. While these currencies are yet to match the traditional financial crime methods in terms of volume and size, the growing number of cases of money laundering...
AI Uptake for AML Compliance on the Rise despite COVID-19
Research suggests that financial institutions are increasingly adopting technologies such as AI and machine learning (ML) for anti-money laundering (AML) compliance in response to the COVID-19 pandemic. A new study by KPMG, SAS and the Association of...
Regulatory compliance in Asia: Reasons behind the rise of Regtech
It’s been more than a year and a half since the COVID-19 pandemic wreaked havoc across the world and changed the day-to-day operations of businesses. Financial institutions and their regulatory compliance teams have not been free from the effects o...
