TEJAS Journal of Technologies and Humanitarian Science

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Abstract:

Artificial Intelligence (AI) has emerged as one of the most transformative technologies shaping modern business environments. Organizations across industries are adopting AI technologies to improve operational efficiency, enhance decision-making, automate processes, and deliver personalized customer experiences. AI-driven business transformation refers to the integration of artificial intelligence technologies into business processes to create innovative products, services, and business models. This research explores how AI technologies such as machine learning, natural language processing, predictive analytics, and robotic process automation contribute to business transformation. The study analyzes how organizations utilize AI to improve productivity, reduce operational costs, and gain competitive advantages. The paper also examines challenges associated with AI adoption including data privacy, implementation cost, skill gaps, and ethical concerns. The proposed framework demonstrates how AI can be integrated into business operations through structured data management, machine learning models, and intelligent decision- support systems. The results indicate that AI-driven transformation significantly enhances business performance, operational agility, and customer satisfaction.