The goal of the Intelligent Mission Controller Node (IMCN) project was to improve the process of translating mission taskings between real-world Command, Control, Communications, Computers, and Intelligence (C41) systems and Joint Synthetic Battlespace (JSB) simulation environments. Using a rule based expert system, IMCN refines the air mission tasking from the C4I system prior to editing by mission controller personnel who are supporting the simulation exercise. This refinement includes processing the mission tasking by adding equipment loads, performing ingress and egress routing, and resolving data ambiguities. The mission controller can also perform additional refinements to the mission as well as adding new rules to further increase the fidelity of the tasking. The result is increased realism in simulation execution of planned missions and a significant reduction in the time required by man-in-the-loop controllers to process an Air Tasking Order (ATO) prior to insertion into a simulation. Equally important, the feasibility of employing expert system technologies to reason over the entire spectrum of air battlespace components was demonstrated.