Regional Hub for Digital Systems & AI in LAC: Scalable Solutions for Effective Anti-Money Laundering

implementation

The general objective of this TC is to enhance the effectiveness of Anti-Money Laundering (AML) systems in Latin America and the Caribbean (LAC) by establishing a Regional Hub for Digital Systems and Artificial Intelligence (HUB) that will enable countries to more effectively process and analyze large, heterogeneous datasets across borders. In particular, the HUB will equip Financial Intelligence Units (FIUs) with open, on-premises, and cloud compatible analytics modules, state-of-the-art Machine Learning (ML) and agentic-AI models, and secure, interoperable protocols for automated financial intelligence sharing across jurisdictions. These systems will allow countries to track and analyze beneficial ownership registries, electronic invoicing, cross-border transactions, and virtual asset activities. By modernizing the exploitation of Suspicious Transaction Reports (STRs) and the smart exploitation of relevant data, the HUB will significantly strengthen risk identification, minimize false positives, and improve the overall quality and timeliness of financial intelligence.