A new fusion architecture is presented and some preliminary results on field data are shown. The architecture consists of a new decision level fusion algorithm, the piecewise level fusion algorithm (PLFA), integrated with an expert system based user assistant. The PLFA technique extends a known two class fusion decision level detection technique to a multiple class fusion classifier technique. The expert system assistant calculates the parameters necessary to automatically adapt the PLFAtothe required performance. An interactive integration of the PLFA module with the expert system module allows for effective search for fusion parameters while shielding the user from the mathematical complexity of the fusion procedure. This integration enables the detection of deadlocks and the generation of guidance to the user in parameter selection. The overall architecture and processing required to develop the current system from a man-in-the-loop system to a fully automated fusion system are also described.