Harnessing AI for Asset Tracing in the MENA Region

This technical report discusses the integration of generative artificial intelligence (AI) in asset tracing, particularly in the Middle East and North Africa (MENA) region. It outlines how AI enhances the efficiency and effectiveness of asset recovery processes by analyzing large datasets quickly. The report presents a case study involving a bank's efforts to recover a non-performing loan, highlighting the challenges faced due to limited public records and the reliance on open-source intelligence. It details the iterative use of AI tools in constructing timelines and understanding the status of the business and its guarantor. The report emphasizes the importance of using AI as a complement to human expertise in investigations, providing principles for successful AI integration, including the need for iterative use, thoughtful prompt design, and a long-term perspective on AI governance. The findings suggest that organizations adopting a holistic approach to AI in asset tracing are likely to gain a competitive advantage.