As the use of AI becomes more widespread across various industries, the need to monitor AI-driven applications for anomalies and unexpected behaviors has become increasingly important. Each use case is different and may require a unique set of fields and metrics to effectively identify and surface anomalous behaviors early before business is negatively impacted. At Mona, we are committed to providing the most advanced AI monitoring platform to improve the accuracy and reliability of AI-based systems. We have developed a one-of-a-kind insight generator designed to detect the specific data segment in which the anomaly lies, providing users with the full context of the behavior including possible explanations on why it is occurring. The key to successful AI monitoring lies in the ability to adhere to the intricacies of each use case, providing users with valuable insights to optimize their models and processes. Following numerous user requests, we just enhanced our monitoring capabilities to use geo-location and multiple timestamp fields in any monitoring context.