The Battle Force Tactical Training (BFTT) Improvement Program is an in-port shipboard combat system team training capability to provide, a realistic unit level team training in all Navy warfare areas. This training is partially accomplished with stimulation to shipboard sensors via onboard trainers provided by tactical equipment program managers and simulation of non-shipboard forces such as friendly, neutral, and enemy aircraft and submarines. One of the first BFTT Improvement Program components is the BFTT Air Management Node (AMN). The BFTT AMN is designed to provide Air Traffic Control (ATC) and limited Air Intercept Control (AIC) proficiency training. This training is accomplished by integrating DARPA Synthetic Theatre of War (STOW) technologies with the existing BFTT architecture. This combination brings intelligent aircraft and a High Level Architecture (HLA) simulation base to the BFTT arena. This paper will discuss the STOW technologies and the software architecture designed to provide a robust ATC trainer to the fleet.