Iris Beerepoot

Papers

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About

Iris Beerepoot is a leading researcher in the field of Robotic Process Automation (RPA) and its intersection with Artificial Intelligence (AI). Her work focuses on the practical challenges organizations face when scaling RPA, particularly in maintaining software robots over time and applying automation to complex, unstructured tasks. Her most-cited paper, "How to Keep RPA Maintainable?" (2020, 34 citations), addresses a critical gap in the field by providing actionable frameworks for ensuring long-term RPA sustainability. Building on this, her conceptual framework "Using AI to augment RPA" (2021) explores how AI capabilities can enhance RPA's ability to handle higher-complexity processes, bridging the gap between simple automation and intelligent decision-making. Beerepoot’s contributions are highly relevant for practitioners and academics alike, offering both theoretical foundations and practical guidance for the next generation of intelligent automation. Her work is shaping how organizations design, deploy, and maintain scalable automation solutions, making her a key voice in the evolving RPA landscape.