Epoxy composites reinforced with a hybrid nanofiller of paraffin oil and Al₂O₃ NPs, reveal superior mechanical and wear performance as frictional materials. The current study identifies optimal formulations through systematic tests on hardness, compressive yield strength, elastic modulus, COF, and wear resistance, complemented by 3D topographical and SEM of worn surface analyses. The addition of 0.5–2.0 wt.% Al₂O₃ NPs and 5.0 wt.% paraffin oil led to significant improvements: notably, the composite with 0.5 wt.% Al₂O₃ NPs exhibited superior mechanical properties, along with a remarkable 43% reduction in COF and 34% reduction in wear rate versus neat epoxy. It was indicated that the ANFIS model exhibited significant connection with experimental data, allowing accurate prediction of performance dependent on matrix composition and loading level. It can be evident that the hybrid experimental–AI technique increases material optimization and facilitates the design of high-performance epoxy nanocomposites.