In today's high-tech era, criminals often leave digital footprints that aid law enforcement and financial regulators in investigations. Ironically, it's the offline, low-tech crimes that confound authorities the most. This is evident in the recent surge in illicit use of the Hawala system, as criminal and terror groups increasingly take advantage of this centuries-old money transfer system to evade authorities. Despite their best efforts, law enforcement agencies struggle to combat the illicit movement of funds via the Hawala system, due to its decentralized, unregulated, and low-tech nature. Transactions are typically recorded in paper notebooks with cryptic codes and token numbers denoting transactions between anonymized parties, offering investigators little to work with. However, there is a global push for urgent action against Hawala activity in both developed and undeveloped countries, especially in Europe, where waves of immigration have changed local demographics. Law enforcement is contending with a surge in money laundering and terror funding via Hawala networks, as well as the popularity of the Hawala system amongst criminal and terrorist groups. This has prompted law enforcement to seek new technologies, including AI- driven decision intelligence platforms, to extract meaningful insights from the low-tech data sources associated with the Hawala system. The Urgent Need for Better Investigative Tools for Hawala 1 Executive Summary 6 About NEXYTE 2 The Hawala Problem 4 How Decision Intelligence Can Help 5 Key Decision Intelligence Capabilities 3 What is Hawala? 3