Background and introduction -- RPA as a tool for the strategic positioning of banks in competition -- RPA from the perspective of auditing -- RPA governance to ensure low-risk RPA deployment.

For some years now, the automation of any number of processes and process steps using RPA technology has been keeping the financial sector busy. It has now become an integral part of everyday life in many business areas. How does the technology work, who is responsible and what are the risks of using it in your own bank? This book answers these and many related questions about RPA, which are asked in particular by internal and external auditors, but also by decision-makers. In addition to an introduction to the technology and its classification in a broad, strategic context, the topic of the correct "auditing and assessment" of the technology is discussed. Contents Background and Introduction to Process Automation with RPA RPA as a Tool for the Strategic Positioning of Banks in the Competitive Landscape RPA from the Perspective of Auditing RPA Governance to Ensure a Low-Risk Implementation of RPA The Authors Mario Richard Smeets has been working as a management consultant for banks, insurance companies and financial service providers for many years. He is Partner and Managing Director of a European consultancy with a strong focus on business process automation. Ralf Jürgen Ostendorf has been teaching and researching financial management and strategic orientation for more than 25 years. He has been Professor of Finance and Business Management at the Niederrhein University of Applied Sciences since 2012. Andreas Freßmann has been working in banking for almost thirty years, mainly in a management role in the area of internal auditing. He is currently an authorized signatory and Head of Auditing at Volksbank Beckum-Lippstadt eG. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.