video1.0<iframe src="https://www.loom.com/embed/48f1223de9fe4cc080292106d77ea25c" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/48f1223de9fe4cc080292106d77ea25c-a45c56ba92a4bc2b.gif106.347This Loom demonstrates a workflow for analyzing potential fraud risk using a sample fraud JSON and a fraud image. The presenter says a complete report can be produced in less than 60 seconds, including the risk score, the signals shown, and the evidence the system calculated. It also supports chatting with T.A. and checking related invoices in real time. They note that when checking an “In damage” case with “ideal” Jason Fath, the risk score is less and present the output as a stew.