AI-Driven Predictive Financial Forecasting

This paper explores the transformative role of artificial intelligence (AI) in corporate financial decision-making, analyzing its integration into key financial functions such as FP&A, risk management, investment strategies, and regulatory compliance. Traditional financial models, though foundational, face limitations in today’s volatile, data-rich environments. By contrast, AI enhances forecasting accuracy, enables real-time risk detection, optimizes asset allocation, and automates compliance tracking through machine learning, deep learning, and neural networks. Through comparative analysis and industry case studies, this study highlights the transition from legacy systems to hybrid models that blend human insight with AI-driven precision. The proposed framework emphasizes AI as a decision-support tool rather than a replacement, advocating for ethical governance, regulatory alignment, and tailored model development. This research offers a practical blueprint for organizations to adopt AI in finance, enhancing efficiency, strategic foresight, and resilience in an increasingly complex financial landscape.