AI-DRIVEN FINANCIAL FORECASTING AND CHIEF FINANCIAL OFFICER DECISION QUALITY ACROSS ENTERPRISE SIZES

Abstract

The use of Artificial Intelligence (AI) is rapidly revolutionizing business finance by providing more precise forecasting and insights that guide business decisions. This study focuses on the butterfly effect of financial forecasting using artificial intelligence and the contribution of the Chief Financial Officer (CFO) on the quality of decision making in medium and large businesses. An extensive evaluation system was constructed for each of its dimensions to evaluate the accuracy of forecasting, consistency of decision making, financial risk management, resource allocation efficiency, and commitment of organizational responsiveness. Various financial performance measures have been utilized to evaluate the accuracy of the AI-based forecasting models against traditional forecasting models. The results show that the AI powering forecasting can be remarkably accurate, lower errors and assist the CFO in his/or her financial decision-making process in a timely and informed way. Businesses implementing AI forecasting tools experienced improved budget forecasting, cash flow management, investment prioritisation, and financial risk mitigation. Additionally, explainable AI methods also improved the transparency of the predictions they produced, giving managers more faith in the recommendations made by AI. Model monitoring on a continuous basis and periodic re-training further enhanced forecast accuracy in the face of evolving business conditions. Overall, the study demonstrates that the use of AI-powered predictive tools can be an invaluable asset for businesses in making decisions that drive growth and success. The proposed framework offers practical guidance to organizations looking to leverage AI in corporate finance in a way that is transparent, governed, and means a sustainable financial outcome.