AI-Driven Financial Planning And Analysis: From Corporate Strategy To National Policy

Binbin Cui

doi:10.29284/s27v4779

Authors

Binbin Cui Sprott School of Business, Carleton University, Ottawa, Canada

DOI:

https://doi.org/10.29284/s27v4779

Keywords:

Artificial Intelligence; Financial Planning and Analysis; Economic Policy; Predictive Analytics; Strategic Decision-Making; Data Integrity; FP&A Skill Sets JEL Classification: G17, D53, E27, O33

Abstract

This paper examines the transformative impact of Artificial Intelligence (AI) on Financial Planning and Analysis (FP&A), highlighting its capacity to automate routine processes, deliver advanced predictive insights, and elevate the strategic role of finance professionals. By shifting the focus from transactional tasks to strategic decision-making, AI enhances organizational agility, accuracy, and efficiency. Beyond enterprise-level benefits, the integration of AI into FP&A holds broader implications for national economic policymaking, offering more timely, data-driven insights to inform fiscal and monetary strategies.

However, the deployment of AI in FP&A also introduces significant challenges. These include concerns bout data quality and integrity, model transparency and interpretability, cybersecurity vulnerabilities, ethical implications, and the evolving regulatory landscape. In response, the competencies required of FP&A professionals are rapidly changing. Mastery of data analytics, fluency in AI technologies, critical thinking, adaptability, and strong communication skills are becoming essential in navigating this new landscape.

This paper contributes to academic discourse by synthesizing recent scholarly findings on AI in finance and presenting empirical insights from a multi-case study approach. By illustrating how AI-driven financial analytics can enhance corporate performance while simultaneously informing macroeconomic policy, it bridges the gap between firm-level financial strategy and national economic planning - an area underexplored in existing literature.

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