Abstract

The biggest change in corporate finance management so far has been adding AI and smart analytics to FP&A. The following research reviews strategic effects, implementation problems, and progress regarding AI-powered FP&A systems from 2019 to 2025. Fifteen recent studies are carefully reviewed that analyze how cloud platforms, robotic process automation, machine learning, and predictive analytics can enhance conventional FP&A methods. After the use of AI in FP&A, forecasts become more accurate, operations run smoother, and decision-making accelerates. The budget cycle was shortened a lot in some cases. Given that AI is not yet widely adopted across companies in financial planning, there are various key challenges: data quality, gaps in worker skills, and how well AI tools work with old systems. This research provides recommendations that will be helpful for both researchers and practitioners in implementing AI in FP&A and points to several directions of future research: AI explainability, real-time analytics, and models of cross-functional collaboration.

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