Raghvendra Singh

University at Buffalo, State University of New York

Papers

Total Citations

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About

Raghvendra Singh is a forward-thinking researcher at the intersection of automation, auditing, and emerging technologies. His work primarily explores how robotic process automation (RPA) can be strategically deployed to transform control monitoring and enable hyper-automation within audit ecosystems. In his most cited work, "Utilization of RPA in Control Monitoring and Hyper Automation in Audit Ecosystem" (2023, 3 citations), Singh critically examines the evolution of RPA over the past two decades, highlighting its capacity to automate repetitive, rule-based tasks while cautioning against its limitations in more complex, judgment-driven processes. This contribution is particularly valuable for practitioners seeking to balance efficiency gains with the nuanced demands of modern auditing. By mapping the boundaries of RPA’s applicability, Singh provides a pragmatic framework for integrating automation without compromising audit quality. His research resonates with both industry professionals and academics, offering actionable insights for the next wave of intelligent automation. As the field rapidly evolves, Singh’s work stands as a timely guide for leveraging RPA responsibly in high-stakes financial and operational environments.