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

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.

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Publication Details

Journal
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Published
2025-04-03
DOI
https://doi.org/10.60087/jaigs.v8i1.372
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ashitosh Chitnis
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Insurance and Financial Risk Management
article

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

Ashitosh Chitnis
article en

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.

Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Vol. 8(1)
Apple (Israel) (IL)
Openalex Percentile: Top 82%
Insurance and Financial Risk Management
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