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Reimagining Financial Planning and Analysis: AI-Driven Innovations in Forecasting, Scenario Modeling, and Governance

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  • Ashitosh Chitnis

Abstract

The discipline of Financial Planning and Analysis (FP&A) is undergoing a fundamental transformation, driven by the integration of artificial intelligence (AI) into core planning functions. This article explores how AI is reshaping forecasting accuracy, scenario planning agility, and governance frameworks within FP&A. It highlights the growing use of machine learning for predictive forecasting, natural language processing (NLP) tools to streamline analyst workflows, and real-time scenario modeling to enhance strategic responsiveness. The paper also addresses critical issues of data integrity, regulatory compliance, and explainability, underscoring the importance of AI governance in financial systems. Drawing from cross-industry applications and platform innovations across SAP, Oracle, Anaplan, and Microsoft Azure, this study presents a forward-looking perspective on how finance leaders can leverage AI to drive intelligent, agile, and compliant financial decision-making in an increasingly volatile business environment.

Suggested Citation

  • Ashitosh Chitnis, 2025. "Reimagining Financial Planning and Analysis: AI-Driven Innovations in Forecasting, Scenario Modeling, and Governance," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(1), pages 232-240.
    • Handle: RePEc:das:njaigs:v:8:y:2025:i:1:p:232-240:id:372
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