Bad weather can play havoc with the best-laid plans. This is especially true in air traffic management, where poor meteorological conditions are a primary cause for traffic delays in Europe. Performing better during adverse weather relies on timely and accurate forecasts, which is easier said than done given how quickly the conditions can evolve. The project aims to improve the quality of meteorological information through the use of artificial intelligence. Specifically, it will integrate live weather information from AI forecasts with existing decision support tools and platforms to assess the operational benefits to several end-users. The aim is to improve the management of demand and capacity balancing across the network level, but also for local flow management, and urban air mobility.