Vol. 7, Issue 2, Part F (2025)

The steel industry is highly dynamic, requiring companies to adapt to volatile market conditions, fluctuating raw material prices, and financial risks. JSW Steel Ltd., a leading steel manufacturer, has recognized the transformative role of Artificial Intelligence in real-time financial data analysis to enhance decision- making. This study explores how AI-driven financial analytics can optimize cost management, improve forecasting accuracy, and strengthen risk assessment in a capital-intensive industry. Primary data was collected through designed questionnaires, administered to 100 respondents. The research focuses on AI applications such as predictive analytics, real-time data processing, and automated compliance monitoring to facilitate financial decision-making at JSW Steel Ltd., Salem. The study utilizes a mixed-method research approach, collecting both primary and secondary data to assess the adoption, benefits, and challenges of AI in financial management. Key findings indicate that AI significantly enhances financial forecasting, reduces operational costs, and improves financial transparency. However, challenges such as high implementation costs and trust in AI-driven decisions remain.