The accurate modeling of hypersonic flight environments is a challenging problem resulting from the complex numerical and physical aspects of this flight regime and the coupled interaction with the vehicles thermal protection shield. Body conformal grids are almost exclusively the method of choice when conducting fluid-ablation interaction simulations because of the efficiency of high aspect ratio cells and the need for shock-aligned grids. These body-fitted grids provide an effective method for obtaining accurate surface heat flux predictions which are crucial to these ablative environments, however, the added complexity of surface recession complicates the employed numerical algorithms, especially for complex 3D geometries. The work shown here presents the first stage in the development of a fully automated hypersonic flow solver, developed within the CHAMPS framework, capable of simulating high-enthalpy environments and predicting accurate heating loads which removes the need for any mesh motion algorithms on the fluid grid or shock alignment. An adaptive block-structured Cartesian grid is used to resolve the off-body flow structure while using adaptive mesh refinement for efficient shock tracking. The inability to use high aspect ratio cells and lack of wall alignment of Cartesian grids make hypersonic viscous flow simulations exceptionally expensive and inaccurate. A body conformal near body solver has been developed such that the near body grid is automatically generated from the surface grid provided to the Cartesian solver. The near body solver is used to resolve the geometries’ boundary layer and is coupled into the Cartesian solver via an overset mesh approach. The coupled solver has been shown to provide accurate heat flux predictions for a variety of geometries while vastly reducing the computational cost versus fully-resolved Cartesian grid simulations. The newly developed solver is subsequently coupled to the KATS-MR solver to simulate graphite ablation for a blunt cone under steady state conditions at two altitudes.