Customer Due Diligence (CDD) for Banks and Fintech Companies
Customer Due Diligence (CDD) for Banks and Fintech CompaniesBanks and fintech companies must conduct customer due diligence (CDD) to collect and evaluate relevant information about a customer or potential customer. CDD helps businesses protect themselves from fraud, money laundering, and other illegal activities. By knowing their customers and analysing information about them obtained from a variety of sources, businesses can avoid doing any business with high-risk individuals or groups. CDD programmes are necessary for financial institutions to mitigate risk and CDD checks will help prevent them from doing business with risky customers.What you will learn from this guide:The meaning of CDD The importance of CDDCDD methods How financial institutions can build an effective CDD programmeHow technology can enhance CDD process
Our Thought Leadership Guides
The Sword Tips the Scales: AI and Its Governance
AI has moved from breakthrough to battleground. The Sword Tips the Scales: AI and Its Governance examines the global shift from broad best-practice guidance to harder legal and regulatory accountability, as governments respond to the real-world risks of AI systems. The ebook explores how the EU AI Act is setting a global precedent, why jurisdictions are moving toward stricter oversight, and how the conversation is increasingly centred on responsibility when AI goes wrong.
At the heart of this shift is a deeper question: who is accountable when AI systems hallucinate, fail, or create harm? This ebook unpacks that tension and shows how the burden is no longer falling on users alone. Developers, deployers, and institutions are all being drawn into a new era of governance shaped by transparency, safeguards, explainability, and operational discipline.
The ebook also looks ahead to what this means for financial services. While the sector may not yet be at the centre of AI governance scrutiny, the direction of travel is clear. As regulation matures and modular technology environments become more common, financial institutions and AI providers will face growing pressure to demonstrate control, accountability, and seamless interoperability across systems. The ebook highlights how policies such as AFASA point to this future and why firms should start preparing now.
Download the ebook to explore the emerging rules of AI governance and what they could mean for trust, accountability, and the future of financial services.
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AML Intelligence Review of Southeast Asia 2025 and the Road Ahead
Financial crime risks across Southeast Asia are evolving faster than traditional AML controls. Rising transaction volumes, real-time payments, and increasingly sophisticated scam and laundering networks are reshaping how risk manifests across banks and payment institutions.
The AML Intelligence Review of Southeast Asia 2025 and the Road Ahead provides a practical view of this shifting landscape. Rather than broad trend commentary, the report examines real AML scenarios deployed by financial institutions across the region, highlighting how alerts behave in practice and where controls begin to fall short.
What the report covers
- Alert behaviour across Southeast Asia
The scenarios generating the highest alert volumes, and why volume alone does not translate into effectiveness. - Operational efficiency gaps
Where detection frameworks struggle despite heavy alerting. - Emerging financial crime patterns
Key developments across scams, laundering, and flow-based risks shaping the region. - The road ahead for AML teams
Why pre-emptive, scenario-driven prevention is becoming essential as risks evolve faster than controls.
Who should read this report
Designed for AML, compliance, and financial crime teams, as well as risk leaders responsible for operations across Southeast Asia.
Why it matters
As financial crime continues to outpace static controls, institutions need clarity on where risk truly accumulates, not just where alerts are triggered. This report delivers focused intelligence to help teams strengthen controls, improve efficiency, and prepare for what lies ahead.
Money Laundering Risks in E-wallets and Digital Payments
Typology Tales June 2023 In this e-book, Tookitaki features two typologies, contributed by one of our expert anti-financial crime professionals.In this edition of the infographic, we are featuring the following typologies:Detection of multiple transactions of similar amountsSimultaneous transfer of funds to a group of accounts across different customers from a common third party
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The Sword Tips the Scales: AI and Its Governance
AI has moved from breakthrough to battleground. The Sword Tips the Scales: AI and Its Governance examines the global shift from broad best-practice guidance to harder legal and regulatory accountability, as governments respond to the real-world risks of AI systems. The ebook explores how the EU AI Act is setting a global precedent, why jurisdictions are moving toward stricter oversight, and how the conversation is increasingly centred on responsibility when AI goes wrong.
At the heart of this shift is a deeper question: who is accountable when AI systems hallucinate, fail, or create harm? This ebook unpacks that tension and shows how the burden is no longer falling on users alone. Developers, deployers, and institutions are all being drawn into a new era of governance shaped by transparency, safeguards, explainability, and operational discipline.
The ebook also looks ahead to what this means for financial services. While the sector may not yet be at the centre of AI governance scrutiny, the direction of travel is clear. As regulation matures and modular technology environments become more common, financial institutions and AI providers will face growing pressure to demonstrate control, accountability, and seamless interoperability across systems. The ebook highlights how policies such as AFASA point to this future and why firms should start preparing now.
Download the ebook to explore the emerging rules of AI governance and what they could mean for trust, accountability, and the future of financial services.
AML Intelligence Review of Southeast Asia 2025 and the Road Ahead
Financial crime risks across Southeast Asia are evolving faster than traditional AML controls. Rising transaction volumes, real-time payments, and increasingly sophisticated scam and laundering networks are reshaping how risk manifests across banks and payment institutions.
The AML Intelligence Review of Southeast Asia 2025 and the Road Ahead provides a practical view of this shifting landscape. Rather than broad trend commentary, the report examines real AML scenarios deployed by financial institutions across the region, highlighting how alerts behave in practice and where controls begin to fall short.
What the report covers
- Alert behaviour across Southeast Asia
The scenarios generating the highest alert volumes, and why volume alone does not translate into effectiveness. - Operational efficiency gaps
Where detection frameworks struggle despite heavy alerting. - Emerging financial crime patterns
Key developments across scams, laundering, and flow-based risks shaping the region. - The road ahead for AML teams
Why pre-emptive, scenario-driven prevention is becoming essential as risks evolve faster than controls.
Who should read this report
Designed for AML, compliance, and financial crime teams, as well as risk leaders responsible for operations across Southeast Asia.
Why it matters
As financial crime continues to outpace static controls, institutions need clarity on where risk truly accumulates, not just where alerts are triggered. This report delivers focused intelligence to help teams strengthen controls, improve efficiency, and prepare for what lies ahead.
Money Laundering Risks in E-wallets and Digital Payments
Typology Tales June 2023 In this e-book, Tookitaki features two typologies, contributed by one of our expert anti-financial crime professionals.In this edition of the infographic, we are featuring the following typologies:Detection of multiple transactions of similar amountsSimultaneous transfer of funds to a group of accounts across different customers from a common third party