Over the past eight weeks, IMTF has participated in the Financial Conduct Authority‘s (FCA) Synthetic AML Solution Sprint (SAMLS), joining financial institutions, technology providers and other industry participants to explore how synthetic datasets can support the next generation of anti-money laundering (AML) transaction monitoring.
The initiative brought together a diverse group of participants to evaluate how realistic synthetic data can be used to develop, test and validate transaction monitoring solutions, particularly those leveraging emerging technologies such as artificial intelligence (AI).
Why synthetic data matters
As financial institutions continue to invest in AI, one of the biggest challenges remains access to representative, high-quality datasets. Privacy requirements and regulatory constraints often limit the use of real customer data for developing and validating new detection models.
Synthetic datasets offer a promising alternative. By preserving the statistical characteristics and behavioural patterns of real-world transactions while removing sensitive personal information, they provide a safe environment for experimenting with new detection approaches and evaluating AI models.
For the financial crime compliance industry, this creates opportunities to improve transaction monitoring capabilities while maintaining appropriate data privacy safeguards.
IMTF’s contribution
As part of the Sprint, IMTF explored how synthetic datasets can support AI-driven transaction monitoring and help evaluate emerging approaches to detecting increasingly sophisticated money laundering typologies.
The collaborative nature of the Sprint also provided an opportunity to exchange technical perspectives with regulators, financial institutions and technology providers, contributing to a broader industry discussion on the future of AI in financial crime compliance.
“We are humbled to have participated in such a forward-thinking initiative. We look forward to future opportunities to collaborate with the FCA and industry peers as we continue to innovate and advance the global fight against financial crime.”
Jean Voigt, Head of AI at IMTF
Looking ahead
The Sprint highlighted the growing role that synthetic data can play in advancing innovation across the anti-financial crime ecosystem. Beyond supporting the development of AI-driven transaction monitoring solutions, synthetic datasets enable organisations to safely experiment with new techniques, compare approaches and better understand evolving financial crime typologies.
We would like to thank the FCA and all participating organisations for fostering an open and collaborative environment to explore these important challenges.
The FCA has also shared its own reflections on the Sprint and announced that the insights will be consolidated into a forthcoming research note. We encourage you to read their summary of the initiative here.
We look forward to continuing the industry conversation on the future of AI, synthetic data and financial crime prevention.
