A pioneer in the move to automate routine production line tasks, the manufacturing sector is again leading the way as it increasingly adopts robotic process automation (RPA) to improve both back-office operations and production floor activities. This includes everything from order processing and fulfillment to inventory, transportation management, and customer support. Properly executed, RPA is capable of automating a host of repetitive, rules-based processes, minimizing the amount of time spent on manual tasks (and the potential for human error) while simultaneously improving productivity, driving innovation, and lowering costs. But after a year marked by a worldwide pandemic that helped to spur unprecedented growth in the adaptation and use of RPA, manufacturers are now struggling to scale their automation initiatives, due in large part to the huge burden of maintaining the automations they have built to date. While there was great hope that artificial intelligence in concert with RPA would yield higher-quality, higher-value automations, this has failed to materialize as most of the tools in that area simply aren't ready for prime-time.