Countries in Europe, North & Latin America, Middle East and Asia ranked based on their effectiveness in financial crime compliance.
Input data for research from The Basel Index, FATF risk assessments, and UNODC country-wise organized crime indexes.
Built using extensive interviews with senior compliance executives at 25 financial institutions across the globe.
A unique blend of quantitative analysis and industry insights provides a practical perspective into AI's transformative role in AML.
Napier AI’s data science team, led by award-winning Chief Data Scientist Dr. Janet Bastiman, in collaboration with GlobalData, has created this comprehensive AI / AML Index.
This report delivers a transparent, explainable view on the cost of compliance on society and financial institutions, while highlighting AI’s potential to enhance AML effectiveness.
Individual country index ranking and breakdown of the data behind the scores
Key milestones in AI and AML regulations around the world
Latest AI regulations and compliance costs in your country
See your country’s ranking in AML performance and AI adoption compared to its peers
Global money laundering losses modelled and analysed
AI savings potential explored through the Napier AI / AML Index
Are you a compliance officer planning your 2025 AML strategy?
Understand the business case for AI-driven savings into your technology budget planning and benchmark against current compliance costs.
Are you uncertain about adopting AI?
Evaluate your organisation’s AI readiness and see how it can strengthen your defences, reduce financial crime risk, and safeguard your reputation.
Does your business operate across multiple geographies?
Dive deep into country-specific regulations and identify high-risk regions to fine-tune your AML strategies.
Are you looking to future-proof your compliance efforts?
Learn how integrating AI can help you stay ahead of evolving regulatory landscapes and maintain a competitive edge in the fight against financial crime.
"Financial crime compliance regulations are putting technology at the forefront: from harmonization of AI and AML regulations in the EU, collaborative regulators in Southeast Asia, and the US Treasury’s consultation on the use of AI in financial services. All of these examples have one commonality – a need to protect GDP from money laundering. AI is not the silver bullet for ensuring that regulations and risk controls keep pace with financial criminals, but, when implemented with the right data governance and explainability, it is key component in protecting global economies from the impact of financial crime".
Becki LaPorte, Strategic Advisor, Fraud & AML, Datos Insights
See the large economies, and the top and bottom performing countries for effectiveness and efficiency of AML.
Find out whether your country’s financial crime compliance spend is effective, excessive, or insufficient in the fight against money laundering