Scenario Lab is a free, interactive investigation trainer for AML and financial crime compliance professionals. In KYC and KYB cases, you build out the ultimate beneficial ownership tree, screen each entity against sanctions and PEP data, and reach a disposition decision. In Fraud Detection, account events play back one at a time and a live risk signal updates as each new fact arrives, testing judgement under incomplete information rather than pattern matching against a fully assembled case file. Every case is authored specifically for this tool, not adapted from a public enforcement action, so the scenarios stay original while reflecting the structural patterns compliance professionals encounter in real investigations. It is a training environment, not a certification, and carries no affiliation with ACAMS, ICA, or any credentialing body.
The ownership tree is built as an interactive node graph, entities stay unidentified until you investigate them, so premature visual cues don't defeat the judgement exercise. A fuzzy matching threshold slider controls how tightly the screening engine matches names, the same tradeoff between missed hits and false positives that governs real screening decisions. A clear sanctions result on a direct entity is not the end of the case either, where family relationships or nominee arrangements are present, the correct path is escalation for a beneficial ownership determination, not automatic clearance.