Josnei Scolimoski

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About

Josnei Scolimoski is a leading researcher at the intersection of business process management and intelligent automation. His work focuses on how organizations can achieve digital transformation by combining Robotic Process Automation (RPA) with Artificial Intelligence (AI) and Machine Learning (ML). His most-cited paper, "Robotic Process Automation and Machine Learning: a Systematic Review" (2022, 23 citations), provides a foundational framework for identifying repetitive tasks through BPM mapping and automating them with RPA, while also exploring how ML can enhance these systems. In a highly impactful follow-up study, "Robotic Process Automation Extended with Artificial Intelligence Techniques in Power Distribution Utilities" (2021, 13 citations), Scolimoski demonstrates the real-world application of this synergy, showing how software robots can optimize the critical management of power meters. This work highlights the strategic value of RPA+AI for utilities undergoing digital transformation. Scolimoski’s contributions are particularly notable for bridging the gap between theoretical automation frameworks and practical, high-stakes industrial applications, offering a clear roadmap for companies seeking productivity gains through intelligent process automation.