Summary
This whitepaper presents an AI-assisted approach to form digitization as part of the Cadmus Logic.AISM ReGenX product suite, designed to enhance enterprise-scale modernization. It outlines the challenges faced by organizations in transforming nearly 10,000 unique federal forms into interactive web applications, which traditionally require extensive manual development. The document details a seven-step processing pipeline that utilizes large language models (LLMs) for intelligent form extraction, significantly reducing the time required for form digitization from weeks to minutes. The system produces three distinct schema outputs: Form Definition Schema, Validation Schema, and Flow Control Schema, each serving specific functions in rendering and validating forms. The paper emphasizes the importance of maintaining parity between digital and paper forms and describes how AI technology amplifies domain expertise rather than replacing it, enabling non-technical users to achieve efficient results through natural language prompts. The architectural approach discussed is adaptable to various AI models and use cases.
