Michael Wornow

Papers

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About

Michael Wornow is a leading researcher at the intersection of data management and artificial intelligence, whose work is pioneering the automation of enterprise workflows. His landmark paper, "Automating the Enterprise with Foundation Models" (2024, 11 citations), tackles a challenge that has captivated the data management community for decades: unlocking the $4 trillion in annual productivity gains promised by end-to-end workflow automation. Wornow’s key contribution lies in demonstrating how foundation models can overcome the limitations of traditional process mining and robotic process automation (RPA), which have long fallen short of delivering on this vision. By leveraging large language models to understand and execute complex, multi-step business processes, he has charted a new path toward truly autonomous enterprise systems. His work is already shaping how organizations think about integrating AI into their operational backbones, and his insights are driving a paradigm shift from rigid automation scripts to flexible, intelligent agents. Wornow’s research is essential reading for anyone interested in the future of work, data systems, and the practical deployment of foundation models in high-stakes environments.