Lewin Schaudt
Papers
1
Total Citations
10
H-Index
1
About
Lewin Schaudt is an emerging scholar at the intersection of artificial intelligence and process automation. His primary research focuses on the integration of Robotic Process Automation (RPA) with AI technologies, exploring how these complementary systems can transform business operations. In his most-cited work, "Combining Robotic Process Automation with Artificial Intelligence: Applications, Terminology, Benefits, and Challenges" (2023), Schaudt provides a foundational framework for understanding how RPA and AI can work together, clarifying terminology and mapping out practical applications. This paper, with 10 citations, has already established him as a voice in the growing field of intelligent automation. Schaudt’s contributions lie in bridging the gap between rule-based automation and cognitive AI, offering both practitioners and researchers a clear taxonomy of use cases and a balanced assessment of benefits—such as increased efficiency and accuracy—alongside challenges like integration complexity and governance. His work is particularly valuable for students and professionals seeking to navigate the rapidly evolving landscape of enterprise automation. As his research continues to develop, Schaudt is positioned to influence how organizations design and implement hybrid automation systems.
Research Focus
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Top Papers
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