The evolution of document processing has seen rapid advancements through artificial intelligence, with AI-driven Document Intelligence emerging as a transformative technology. This paper presents IntelliDoc, a comprehensive AI-driven framework for real-time document processing and analytics within modern data pipelines. Emphasizing the role of artificial intelligence in automating, extracting, and analyzing document-based data at scale, this framework harnesses machine learning and natural language processing (NLP) capabilities to streamline workflows, improve decision-making, and drive efficiency in handling unstructured data. Through real-world case studies and performance benchmarks, the paper evaluates the efficiency, scalability, and accuracy of the IntelliDoc framework in enterprise applications, showcasing significant reductions in processing time and operational costs. This research offers critical insights into how AI-driven Document Intelligence reshapes document workflows, detailing implementation strategies and addressing common challenges. The findings underscore IntelliDoc’s potential to revolutionize document processing workflows, providing a scalable, robust solution for data-driven enterprises across diverse industry sectors.