Agentic Document Workflows (ADW) are an advanced architecture that enhances document processing by integrating document retrieval, structured outputs, and orchestrated agent activities, going beyond traditional Intelligent Document Processing (IDP) and Retrieval-Augmented Generation (RAG) paradigms. ADW systems maintain context and state across document-related workflows, enabling them to handle complex processes like contract reviews, patient case summaries, invoice processing, and auto insurance claims by coordinating various components and applying business rules. These systems use intelligent agents to extract, analyze, and structure information, supporting human decision-making with actionable insights while retaining human oversight in critical areas. The architecture leverages LlamaCloud's parsing and retrieval capabilities, facilitating the creation of production-ready solutions that transform traditional document workflows into efficient, automated processes. Enterprises are increasingly adopting these advanced patterns to optimize knowledge work, with resources like Jupyter notebooks available to guide implementation and customization for specific use cases.