The primary goal of public safety emergency response is to dispatch the right help to the right place at the right time, every time. In Nashville, we identified two areas to be improved upon in order to further that objective, including preventing 9-1-1 dispatchers from being tied up answering routine non-emergency calls, allowing dispatchers the opportunity to answer emergency calls more quickly, and optimizing fire and medical apparatus location and utilization, resulting in the shortest possible response times while making certain that they have the best information as quickly as possible once they arrive on scene, ensuring maximum efficiency. This university-community collaboration among Vanderbilt University, Rutgers University, Metropolitan Nashville Department of Emergency Communications, and Nashville Fire Department aims to create a community-centric approach to build an efficient and equitable emergency response system by applying state-of-the-art AI techniques to automate responses to non-emergency requests, precisely ascertain emergency response times, and extract on-scene information to support first-responder operations.