Reimagining Financial Planning and Analysis: AI-Driven Innovations in Forecasting, Scenario Modeling, and Governance
Year: 2025
Type: article
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.
Author: Ashitosh Chitnis
Institution: Apple (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411004566