video1.0<iframe src="https://www.loom.com/embed/bfb9829813a740229c51648a8de1b441" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/bfb9829813a740229c51648a8de1b441-87be377c011f46cf.gif134.356In this video, I discuss the final steps of operationalizing a fraud model, focusing on how to effectively manage user reviews. I explain the importance of automatic banning for certain users while ensuring we still gather verified labels for accuracy. I also share the probability thresholds we use for alerts and how we simulate the process in our test database. Please take a moment to review the thresholds and provide any feedback.