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An integrated Team-Artificial IntelligenceElectromagnetic, T-AI-EM, environment is developed to accurately determine the performance characteristics of synchronous reluctance motors (SynRM) with Axially Laminated Anisotropic (ALA) rotor configurations. This T-AI-EM is used to train a Fuzzy Logic system that predicts the optimal solution of the machine for any given input torque. The main objective of this optimization is to minimize the torque ripple corresponding to a given torque-load condition. The T-AI-EM is composed of two main blocks. The first consists of electromagnetic module utilizing indirectly coupled finite element state space (FE-SS) model. The second consists of an AI based model inspired from team member concept, that consists of several Adaptive Network Fuzzy Inference Systems, ANFISs, supervised by a Radial Based Network, RBN.