To enable rapid predictions, ranging from seconds to minutes on consumer hardware, we employ semi-empirical optimizations and, when necessary, DFT single-point calculations to reduce computational costs. In our analysis using the dataset from Tomberg et al. , we recorded median and mean prediction times of 2:02 and 2:21 minutes, respectively, using four Intel Xeon E5-2643 v3 (3.4 GHz) CPUs. These times were significantly reduced to 22 and 34 seconds when exclusively using semi-empirical optimizations. The workflow benefits from parallelized QM programs and routines, demonstrating nearly linear reductions in wall time as the number of cores increases, tested up to 16 cores. However, for greater accuracy, particularly at reaction sites with energy differences less than 1 kcal/mol, DFT optimizations are recommended, as they may necessitate higher-level (re-)optimization for precise predictions.