Document management workflows (DMWs) are essential for businesses to efficiently handle documents throughout their life cycle, from capturing and storing to tracking and archiving. A well-implemented DMW can enhance productivity, reduce errors, ensure compliance, and save costs by providing centralized storage, collaboration tools, version control, and disaster recovery options. In various industries like healthcare, legal, finance, education, and manufacturing, DMWs streamline processes, improve accuracy, and ensure regulatory compliance. Automation of DMWs using AI-powered solutions like Nanonets can further optimize workflows by automating document classification, access control, filing systems, and data extraction, thus enhancing efficiency and reducing manual tasks. Nanonets' automation capabilities enable businesses to manage documents more effectively by leveraging machine learning for improved accuracy, consistency, and cost savings, ultimately leading to better decision-making and higher customer satisfaction.