Software-based automation of administrative processes using robotic process automation

The aim of the RPAsset research project is to identify suitable processes and technologies for SMEs in order to demonstrate an optimal integration strategy for robotic process automation (RPA) that adequately takes into account organizational and process-related as well as human aspects.

Initial situation

The research project RPAsset addresses the problem of insufficient efficiency of administration processes of small and medium-sized enterprises. One possibility to exploit potentials is the use of robotic process automation. This procedure already enables large parts of the administration activities in companies to be automated today through standardized data processing.

Solution path

With the help of a newly designed tool, processes within a company are identified that are suitable for the application of RPA. The RPA applications are then analyzed and modeled, and suitable RPA software is evaluated and selected. In addition, suitable algorithms and machine learning tools are identified and compared for the meaningful use of RPA applications. Furthermore, the introduction of RPA at the organizational level will be investigated. Based on the results, the implementation will then be carried out using exemplary processes in the companies of the PA. The effects of the introduction of RPA are recorded. The results are secured for the companies by transferring the result components into an interactive and easy-to-use digital manual. The (interim) results are transferred into practice for direct application.

The project aims at four key outcomes:

  1. Concept of a tool for evaluating RPA applications for administration processes
  2. Configurator for modelling RPA applications
  3. Help for selecting suitable algorithms for automated process steps containing a decision component
  4. Concept for the individual introduction of RPA applications for SMEs

Benefits for the target group

The results of the research project RPAsset will enable SMEs in Germany to identify the relevant administrative processes and to implement RPA applications in a resource-saving manner. The released time resources can, for example, be used to work on more complex topics with high cognitive demands.