The report explores the cost of compliance, the economic impact of financial crime, and the potential savings AI brings to AML processes.
Key Takeaways from the report Include:
- Global money laundering losses reached $5.2 trillion in 2023, equivalent to 5% of the world’s GDP;
- AI-driven AML strategies could recover an estimated $3.13 trillion, demonstrating AI’s transformative potential in financial crime prevention;
- Regulated firms could save $138 billion in compliance costs by integrating AI into their AML frameworks; and
- Regions with balanced regulations and collaborative approaches, such as the UK and Singapore, lead in effective AI deployment for AML.
✅ In the report, Plenitude Co-CEO Alan Paterson ,states: “The real value of AI in AML lies not only in its ability to automate detection but also in enhancing precision, reducing false positives, and optimising resource allocation. By leveraging AI, institutions can focus their efforts on genuine threats, ultimately making compliance both more effective and efficient.” His perspective reinforces the report's emphasis on the strategic advantages of using AI to streamline and enhance compliance operations.