Automated Document Processing (ADP) serves as a foundational platform for enterprises by managing structured and semi-structured documents through rules-based workflows. Unlike Intelligent Document Processing (IDP), which handles variability and adapts to diverse formats using AI, ADP focuses on consistency and governance, excelling in environments with high-volume, predictable document formats such as invoices, purchase orders, and claims forms. It integrates components like OCR for text extraction and RPA for bridging system gaps, but its core strength lies in determinism and efficiency. ADP enables faster processing, reduces errors, and enhances compliance by providing audit-ready records, making it particularly valuable in finance, logistics, and procurement. While IDP adds adaptability for more complex needs, ADP remains the backbone of scalable document automation, ensuring stability and reducing operational risks. Enterprises typically start with ADP for its predictability and layer IDP as document diversity increases, with a clear role for each technology within the automation stack.