Terminal airspace (TMAs) especially those serving major airport hubs and/or multi-airport systems can get very busy, putting pressure on air traffic controllers. The project will make use of controller generated historical data and machine learning to develop a digital assistant controllers in their decision making and manage certain delegated tasks. The overall aim is to capacity, flow and trajectory efficiency and safety.