Authors: Dr. N. Kousalya, Dr. V. Renuka, Mrs. S. Anuvisalakshi, Dr. D. Jansi
Abstract: Given the increasing level of uncertainty in economic environment, coupled with the fast-evolving technological advancements, there is a need for intelligent financial management systems that are resilient enough yet profitable at the same time. In this paper, a framework that uses Artificial Intelligence (AI), real-time analytics and multi-criteria decision making is presented to improve organizational financial resilience and profitability. Through various case studies and empirical findings from leading financial firms, a smart financial management system is proposed in this paper, which will incorporate predictive forecasting, automated treasury functions and adaptive risk management. Based on quantitative analysis of various organizational settings, AI-driven financial management system helps to increase decision-making process by 70%, decrease transaction cost by 30% and increase financial resilience scores by 40%.
DOI: http://doi.org/10.5281/zenodo.21675258
