• Dr. J.OMPRAKASH
• Dr. T. HAANMANDLU

In the era of digital transformation, Artificial Intelligence (AI) is playing a pivotal role in reshaping cost optimization and budgeting strategies across industries. This seminar paper explores how AI-driven technologies are enabling organizations to improve financial efficiency, enhance forecasting accuracy, and optimize resource allocation. By leveraging machine learning, natural language processing, and predictive analytics, businesses can identify cost-saving opportunities, automate budgeting processes, and adapt quickly to market dynamics. Key AI applications include dynamic budgeting, expense forecasting, vendor and procurement analysis, and real-time operational cost control. These tools not only streamline workflows but also empower decision-makers with data-driven insights that go beyond traditional financial planning methods. Case studies from leading organizations such as Google, Siemens, and Coca-Cola demonstrate the real-world benefits of AI integration in financial operations. However, the successful implementation of AI in budgeting and cost optimization is also facing challenges, such as data privacy, quality, integration with legacy systems, and ethical concerns like algorithmic bias must be addressed. The paper further outlines future research directions, including the development of autonomous budgeting systems, explainable AI (XAI), and AI-enhanced ERP solutions. Overall, the study concludes that AI offers transformative potential in cost management and budgeting by increasing agility, precision, and strategic control, provided that organizations adopt these technologies responsibly and transparently.

Artificial Intelligence (AI), Cost Optimization, Budgeting Automation, Machine Learning (ML), Predictive Analytics

"COST OPTIMIZATION AND BUDGETING WITH ARTIFICIAL INTELLIGENCE: ENHANCING FINANCIAL EFFICIENCY THROUGH DATA-DRIVEN INSIGHTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.147-151, November-2025, Available :http://www.jetir.org/papers/JETIRHD06024.pdf

"COST OPTIMIZATION AND BUDGETING WITH ARTIFICIAL INTELLIGENCE: ENHANCING FINANCIAL EFFICIENCY THROUGH DATA-DRIVEN INSIGHTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. pp147-151, November-2025, Available at : http://www.jetir.org/papers/JETIRHD06024.pdf