Monika Sharma

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About

Monika Sharma is a pioneering researcher at the intersection of artificial intelligence and enterprise automation, with a primary focus on Robotic Process Automation (RPA) enhanced by large language models (LLMs). Her most cited work, "SmartFlow: Robotic Process Automation using LLMs" (2024), addresses a critical bottleneck in traditional RPA systems—their inability to handle complex, dynamic processes and diverse screen layouts that demand human-like reasoning. Sharma’s key contribution lies in integrating LLMs to enable adaptive, context-aware automation, moving beyond rigid pixel-level encoding and conventional frameworks like Selenium. This innovation has the potential to revolutionize how organizations automate workflows, reducing reliance on manual rule-setting and expanding RPA’s applicability to unstructured tasks. Although early in its citation trajectory, with 2 citations to date, "SmartFlow" is gaining attention as a foundational piece in the emerging field of LLM-driven automation. Sharma’s work is notable for bridging cutting-edge AI with practical business needs, positioning her as a rising voice in next-generation enterprise technology. Her research promises to make automation more intelligent, flexible, and accessible for industries seeking to streamline operations.