While large scale manufacturers are able to continually invest in the equipment and infrastructure of their manufacturing systems, small and medium enterprise size manufacturers are more financially constrained. These smaller organizations are slower to invest in new systems with digital capabilities. Small and Medium Manufacturers (SMMs) commonly have different generations of CNC machines with varying levels of digital capability. Many SMMs still also own and operate fully manual legacy machines. This research investigates how to provide digital manufacturing capabilities to manual legacy machines. Three different price points of sensor suites are investigated to monitor legacy manual machines for quality, operator training, and predictive maintenance. This project creates the foundation for the development of a distributive manufacturing network at Auburn University.