The Financial Superintendence of Colombia has implemented an artificial intelligence-based supervisory technology model that automatically grades the design of supervised entities’ programmes for preventing money laundering and terrorist financing (LAFT) risk, following guidelines set by its Delegation for Money Laundering and Terrorist Financing Risk. The initiative is positioned as a milestone under the authority’s Digital Supervision Strategic Plan. Developed by the Superintendence’s Center of Excellence and Artificial Intelligence Group, the tool replaces a manual design assessment process that was described as accurate but time-intensive. The AI model is intended to materially reduce processing times and support more agile, objective analysis; it also “learns” from each assessment to improve precision over time, increasing the number of matrices it can process and enabling the integration of additional variables for more comprehensive supervision.