This thesis presents a model to support decision making in the comparison and unification of business processes, based on event-driven process chain (EPC) notation. This model can be used in various contexts, such as in the acquisition and merging of companies, or in restructurings, in order to define the best resultant processes between two areas, whether that be in the adaptation to regulations to measure the level of compliance, or in the implementation of an Enterprise Resource Planning (ERP) system to identify the company’s degree of alignment with the standard processes of the tool, in this case, the objective is to reduce customizations, time, and project costs. For this, was proposed textual and structural similarity metrics, as well as a conceptual model for business processes, which support to improve understanding of corporate processes. Besides this, a computational experiment, called INTPRO, was developed to validate the conceptual model, and with the help of a business process specialist it was tested on the real processes of an energy company. The INTPRO was also compared with an existing framework and it showed improved results in all the tests conducted.