International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Driven Exit Strategy Optimization for Small Business Owners: Maximizing Retirement Value Through Predictive and Prescriptive Intelligence

Author(s) Tanu Priya, Prof. Harsh Purohit
Country India
Abstract This study examines the role of Artificial Intelligence (AI) in the exit strategy planning of small business owners, integrating both predictive and prescriptive intelligence in the process of decision-making. It sets forth an AI-based structure that supports the owner in spotting the perfect time and selecting the best way out of the business, be it a sale, succession, merger, or shutting down to optimize retirement funds, lessen tax burdens, and correspond with personal life aspirations. The study bases its approach on behavioral finance, strategic management, and retirement economics by reviewing existing literature and creating a conceptual model that integrates financial literacy, rules of thumb related to financial decision, and AI-enabled foresight. It suggests that AI can act as a strategic advisor who can make predictions about future business valuations, market fluctuations, and owner-specific financial situations related to small businesses. In this context, the paper also addresses the future of AI in entrepreneurial finance and retirement planning, as the study leads the way for new empirical investigations and development of tools that support decision-making for small business owners.
Keywords Artificial Intelligence (AI), Business Exit Strategy, Predictive Analytics, Prescriptive Intelligence, Retirement Planning
Field Business Administration
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-16
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.85641
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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