Artificial Intelligence (AI) and Business Intelligence (BI) are critical tools for optimizing decision-making and enhancing business process efficiency in today's digital economy. This article explores the integration of AI and BI in business practices, focusing on their potential to overcome key challenges, such as technical complexity, limited financial and human resources, and insufficient managerial expertise. A comprehensive analysis is provided, highlighting modern solutions that enable automation, improve decision accuracy, and reduce costs. The study emphasizes the importance of combining AI's analytical capabilities with BI's visualization tools, creating a synergistic effect that facilitates strategic and operational decision-making. Presented models demonstrate how AI and BI integration can deliver significant benefits while maintaining cost efficiency, making these technologies accessible even to resource-constrained enterprises. Key barriers to adoption, such as the lack of infrastructure, technical expertise, and financial constraints, are addressed, alongside practical recommendations for their mitigation. Furthermore, the paper discusses the role of generative AI and large language models (LLMs) in transforming traditional business processes. These technologies enable businesses to automate routine tasks, analyze unstructured data, and generate actionable insights, significantly enhancing the ability to adapt to dynamic market environments. Special attention is given to the economic feasibility and scalability of AI and BI tools, offering a roadmap for successful implementation across various industries. The findings contribute to a deeper understanding of AI and BI integration, providing actionable recommendations for businesses seeking to leverage these technologies for sustainable growth. Future research directions include the development of industry-specific solutions and advanced tools for predictive analytics and resource optimization to further enhance the strategic impact of AI and BI on business practices.
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