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dc.contributor.advisorBoning, Duane
dc.contributor.advisorEppinger, Steven
dc.contributor.authorMahajan, Bonny
dc.date.accessioned2025-10-21T13:17:33Z
dc.date.available2025-10-21T13:17:33Z
dc.date.issued2025-05
dc.date.submitted2025-06-23T17:08:22.572Z
dc.identifier.urihttps://hdl.handle.net/1721.1/163284
dc.description.abstractThis research explores the use of Generative AI (Gen AI) for achieving accumulative gains across various business and technical functions within commercial enterprises under private equity firms. While based on applied experiments in a private equity-owned, resource constrained portfolio company, many of the findings presented here may apply in other types of organizations.Through this study, we conduct case studies across key departments such as customer service, purchasing, engineering, employee management, and marketing. For each use case, we delve into the utilization of custom-built or publicly available Gen AI-based tools, aiming to understand the unique considerations and challenges that may arise when implementing Gen AI solutions in industries like manufacturing, which have traditionally been underserved by the tech sector.Through this research, we identify the critical role of humans in the loop, emphasizing the importance of UI/UX design, domain expertise, and local culture in the successful adoption and acceptance of Gen AI tools designed to enhance workforce efficiency in portfolio companies. This study also aims to illustrate how investing in Gen AI technologies is ultimately an investment in a company’s most valuable resource—its employees. By equipping employees with innovative tools, the organization not only improves productivity and job satisfaction but also fosters a culture of continuous improvement and adaptability. This research highlights the transformative potential of Gen AI in reshaping traditional business processes and driving sustainable growth in different functions of organizations.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleGenerative AI in Private Equity for Accumulative Advantage
dc.typeThesis
dc.description.degreeS.M.
dc.description.degreeM.B.A.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science
thesis.degree.nameMaster of Business Administration


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