The Naval Aviation Logistics Command Management Information System (NALCOMIS) is the next generation solution to the information assimilation gap faced by Naval Aviation maintenance managers. This thesis examines the scope of the problem at the Organizational and Intermediate levels of maintenance, and the intended effect of NALCOMIS and three peripheral information systems. The underlying concepts of the four systems investigated are used to explore Artificial Intelligence as the logical augmentation or follow-on to the NALCOMIS program. Recommendations regarding the implementation of AI and expert systems are made. Additional keywords: Scenarios; MRMS (Mechanized repairables management system); VAMP (Versatile automated management program); VAST (Versatile avionics shop test); SIDMS (Status, inventory, data management system). (Author).