Arushi Jain

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Total Citations

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About

Arushi Jain is a rising researcher at the intersection of artificial intelligence and automation, with a primary focus on enhancing Robotic Process Automation (RPA) through large language models (LLMs). Her most cited work, "SmartFlow: Robotic Process Automation using LLMs" (2024), addresses a critical bottleneck in RPA: the inability of traditional systems to handle complex processes and dynamic screen layouts that demand human-like reasoning. Jain’s key contribution is the integration of LLMs to enable adaptive, decision-making capabilities in automation workflows, moving beyond rigid pixel-level encoding and frameworks like Selenium. This approach promises to make RPA more flexible and intelligent, reducing the need for manual intervention. While her work is early-stage—with 2 citations to date—it signals a novel direction in a rapidly evolving field. Jain’s research is particularly notable for bridging natural language understanding with practical automation, offering a glimpse into how generative AI can transform enterprise efficiency. As a young scholar, her work is already sparking interest among practitioners seeking to modernize legacy RPA systems, positioning her as a promising voice in the next wave of AI-driven automation.