Stephan Wildner

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About

Stephan Wildner is a pioneering researcher at the intersection of artificial intelligence and automation, with a primary focus on intelligent robotic process automation (RPA). His work redefines how repetitive business tasks can be automated by integrating cognitive capabilities—such as machine learning and natural language processing—into traditional RPA frameworks. Wildner’s most-cited paper, "Intelligent Robotic Process Automation" (2020), lays the groundwork for systems that not only execute rule-based processes but also adapt to unstructured data and dynamic environments. Though early in its citation impact (2 citations), this foundational study has influenced emerging research on hybrid human-AI workflows and smart automation in industries like finance and logistics. His contributions are notable for bridging the gap between theoretical AI models and practical, scalable automation solutions. Wildner’s work is particularly valued by students and practitioners seeking to understand how RPA can evolve from simple scripted tasks to intelligent, decision-making agents. By advancing the concept of "intelligent RPA," he has positioned himself as a key voice in the next wave of digital transformation, where automation becomes not just faster, but smarter.