Digitized energy control systems and safety infrastructure improve 7×24 operations but require specific, infrequently used skills. This presentation illustrates a business case for the use of automation and machine learning to improve the safety, reliability, and economy of operational technology systems made of digital devices, while reducing the time and technical expertise required. Improvements to the responsiveness of device management within mission critical systems are paramount, considering recent direct and supply chain attacks. This fleet management system promptly installs firmware updates for performance enhancements and antivirus and cyber defense patches, automates repetitive processes, and uses machine learning to verify the correct operation of modified devices