Robotic Process Automation in Public Administrations

Constantin Houy; Maarten Hamberg; Peter Fettke

In: Michael Räckers; Sebastian Halsbenning; Detlef Rätz; David Richter; Erich Schweighofer (Hrsg.). Digitalisierung von Staat und Verwaltung. Fachtagung Verwaltungsinformatik (FTVI) und Fachtagung Rechtsinformatik (FTRI) (FTVI & FTRI-2019), March 6-7, Münster, Germany, Pages 62-74, LNI, No. 291, ISBN 978-3-88579-685-5, Gesellschaft für Informatik (GI), Bonn, 3/2019.


Against the background of current activities towards administrative modernization based on the digitalization of processes, the usage and integration of Robotic Process Automation (RPA) software into public administration work processes can significantly improve their efficiency, reduce process costs and provide better services for citizens. This paper presents and investigates the concept of RPA and discusses the particular potential and challenges of RPA in the public administration context. Furthermore, it demonstrates an application example of a new cognitive RPA approach for automated data extraction and processing that is used in a trade tax assessment scenario using deep convolutional neural networks (CNN). Based on the findings it can be concluded that RPA has considerable potential for the improvement of the efficiency of administrative work processes and for administrative modernization in general.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence