In today’s digital-first economy, business enterprises are under immense pressure to streamline document-heavy workflows while maintaining accuracy, compliance, and speed. Traditional automation systems—largely built around rigid templates and rule-based engines—fall short when they have to deal with unstructured data, complex logic, or evolving business needs.
This whitepaper explores how Agentic AI, a new frontier in artificial intelligence, is redefining document automation by transcending the shortcomings of static templates. It is reshaping end-to-end document generation, review, and issuance. We analyze the evolution of document automation, the constraints of template-focused processes, and the emergence of Agentic AI paradigms.
The limitations of legacy solutions and the transformative capabilities of Agentic AI are discussed, while providing a comprehensive view of how businesses can redesign end-to-end workflows for agility and scalability. This paper also discusses how DeepKnit AI leverages this paradigm shift to empower organizations with flexible, autonomous, and highly accurate document automation.