Working with the configurable low-code Pega system, the EY team used the software in a visionary way and pushed the boundaries of its capabilities. Initially, the goal wasn’t having it as a complete suite of solutions ready at the start, but instead to offer a viable product that could be tested, expanded and improved as needed during a series of two-week testing and deployment sprints.
The goal was to create a tool any user could pick up and start using immediately, without great risk of error, e.g., using a simple screwdriver, not a table saw. To reach the desired ease of use, the tool was shaped by the experiences of the people using it. The EY team led the designers through iterative updates in a series of two-week sprints, drawing on the feedback from users. Pega’s BPM is low code and designed to be easily configured, allowing developers to quickly adapt it to client needs without resorting to hours spent writing complicated code. If users reported that something in the interface was inconvenient, counterintuitive or buggy, that critique would drive the team’s focus for the next two-week sprint update. With each iteration, the tool grew more intuitive.
This story shows how agile thinking and innovations in military tech can unlock unexpected value. Through simplified inventory recording, leadership could redirect its workforce from time-consuming low-level tasks that support the mission’s resources to more valuable, mission-critical tasks without needing to hire more people or buy new tools. Previously, personnel spent an average of five hours correcting faulty inventory records. The automated system cut that correction time in half.
Instead of puzzling over unreliable data and inconsistent forms, leadership now can pull up whatever property data is needed, in real time, through the RPI system’s dashboard and see what is working and where there are problems. With real-time information about the asset cleanup efforts via Power BI dashboards, military leadership has actionable information about which installations are performing well and which are falling behind.