Expero is partnered with some of the leading data technologists in the world. We solve complex problems that packaged software and canned solutions cannot. We will infuse your current technology with best of breed Graph and Machine Learning tools and techniques.
fraud is an expensive offense—with consumers reporting losing roughly $2 billion in 2019. Additionally, pandemic-related fraud rates have risen by over 30%.
The Expero process is not accomplished in a vacuum, but instead in a collaborative joint delivery process. Our INSIGHT methodology is Agile-based and designed for maximum output with minimal time.
By employing ‘Real Time’ ID and Segmentation, we can identify similarity of processes while looking at the active data. Together with graphs, we can then find the patterns, flag, and ‘hold’ the interaction for additional investigation.
After utilizing use cases to discover possible fraud, there is a deep dive with the aid of analytics for the ‘flagged’ interaction(s) to see what type of fraud may be occurring and what further steps need to be taken. At this point, there is also an adjudication investigation.
Upon finding the interaction fraudulent, the instance is quarantined, and there becomes a proactive management of cases and features for auditing. Compliance with state and local regulations are defined and abided by.
With the completion of the audit, ‘what If’ models and integrated analytics help predict potential fraud and stop it in its tracks.
Following the use of these predictive modelling scenarios, this allows us to learn and evolve to predict the next types of attacks.