By performing a causality analysis of the internal coordinates of the consensus model, an extra temporal dimension can be added to the reaction coordinate, allowing us to explain the chemical reaction as a sequence of movements leading up to C-N bond formation. This information, pinpointing the exact source (group of atoms) that triggers the reaction, allows the experimental chemist to generate testable hypotheses to enhance reactivity, for example by suitable chemical modifications. By checking the outcome of Decision Trees and Decision Rules run on this modified system, we can gauge the impact of a specific change on the reaction coordinate. The methodology is implemented in a straightforward and, apart from the initial setup of reduced internal coordinates, fully automated workflow. As a result, it can be readily applied to other systems as a digital tool. The restriction to analysis of structural parameters, this technique is accessible to the non-expert user, while the obtained results, such as changes in coordinates during the reaction, can easily be understood by a general chemist.