Abstract

With a focus on sustainability and IT changes, the companies even find an AI based system information system implementation in operations. This study analyzes the financial yield of return on investment (ROI) in the digitalization of leading edge enterprises, as well as finds out how AI information systems could achieve prosperity in both the economic and ecological spheres. The research utilizes a mixed-method methodology, combining the quantitative analysis of business finances from companies that have implemented intelligent environmental activities with qualitative case studies. Credit factors like ROI, NPV (net present value) and IRR (internal rate of return) together with environmental performance parameters are evaluated. Furthermore, by conducting surveys and interviews with trusted experts in the industry, the quantitative data is richer within it giving strategic and operational implications of the current initiatives. A study has been found that companies using AI for sustainability purposes are capable of returning very large financial results, much greater than the ones achieved by other digitalization initiatives. The study demonstrates that AI data systems boost efficiency, cut costs, and enhance market competitiveness. It highlights ecological benefits like reduced carbon footprints, efficient resource use, higher profits, and regulatory compliance. It guides stakeholders on AI investment for future ROI, advocating more AI technology funding. The research calls for an integrative approach that includes financial and sustainability measures to capture value. Incorporating AI in sustainable and eco-based digitalization is crucial for optimal financial and environmental outcomes. The organizations strategically utilizing the loop technology are also believed to have an advantage over others with regards to the current market landscape and will be able to make a balance between profitability and sustainable goals.