AI-Driven Financial Planning and Analysis: From Corporate Strategy to National Policy

Author : Dr Binbin Cui

Abstract :This paper explores the transformative role of Artificial Intelligence (AI) in Financial Planning and Analysis (FP&A). By automating routine tasks and providing advanced predictive analytics, AI enables finance professionals to focus on strategic decision-making, thereby improving organizational efficiency and accuracy. The integration of AI in FP&A not only benefits individual enterprises but also contributes to more informed and effective economic policymaking at the national level. However, the integration of AI in FP&A also presents several risks and challenges, including data quality and integrity issues, model interpretability concerns, cybersecurity threats, ethical considerations, and the need for regulatory compliance. Consequently, the skill sets required for FP&A professionals are evolving; proficiency in data analysis, familiarity with AI tools, critical thinking, adaptability, and effective communication are becoming increasingly essential. Through case studies and analysis, this paper demonstrates how AI-driven financial analytics can simultaneously bolster corporate performance and shape effective economic policies.

Keywords :Artificial Intelligence, Financial Planning and Analysis, Economic Policy, Predictive Analytics, Strategic Decision-Making, Data Integrity, FP&A Skill Sets.

Conference Name :International Conference on Enterprise Resource Planning and Financial Management Solutions (ICERPFMS-25)

Conference Place Dallas, Texas

Conference Date 7th May 2025