An initial report is given on the systems and methods developed for the automation of the AI@EDGE connect-compute platform. The reported achievements are the progress towards project overall Objective 3 on a general-purpose network automation framework. The Network and Service Automation Platform (NSAP) hosts the network automation functionality within the overall AI@EDGE system architecture. The NSAP uses closed-loop network intelligence, where the goal is to relieve the human operator as far as possible from the need to take manual action to operate the system. The concept of closed-loop control is described by several steps that form the loop, including sensor, monitor, aggregator, training/inferring, decision making, action enforcer, orchestrator, and actuator. Several methods for automation and learning in MEC and cloud systems have been developed.