Leveraging AI to navigate the evolving sanctions landscape: A guide for financial institutions
Abstract
The global sanctions landscape has grown increasingly complex amid recent geopolitical shifts, particularly following the escalation of sanctions against Russia since 2022. Financial institutions (FIs) are now facing unprecedented challenges in maintaining compliance with rapidly evolving and, at times, conflicting sanctions regimes, while simultaneously managing operational pressures, rising compliance costs and heightened risks of fines. Artificial intelligence (AI) presents a compelling opportunity to support FIs in building compliance frameworks that are both more robust and more efficient, not only for sanctions compliance but across all areas of financial crime risk. This paper examines how, by adopting AI solutions, FIs can enhance the effectiveness and efficiency of sanctions compliance while navigating the multifaceted challenges of modern sanctions requirements. The paper also analyses the main barriers to the adoption of AI-driven solutions, offering practical advice on overcoming these obstacles, with a focus on data quality, legacy systems and the evolving role of compliance practitioners. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
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Author's Biography
Igor Sumkovski is an experienced financial crime and sanctions compliance professional who has worked across leading UK and international financial institutions. He is responsible for developing and maintaining Financial Crime and Sanctions Policies and Standards, delivering effective risk management strategies and ensuring robust compliance frameworks. He holds a master’s degree in financial regulation, international corporate governance and economic law from the Institute of Advanced Legal Studies, University of London, and is International Compliance Association-qualified in financial crime. His experience spans major UK and EU banks, where he has strengthened compliance and risk frameworks at both operational and strategic levels. Passionate about innovation, Igor explores artificial intelligence and machine learning applications to enhance financial crime prevention and sanctions compliance, while raising awareness of the potential misuse of emerging technologies in financial crime.
