Intelligent Design and Implementation of Government Affairs Processes Driven by Large Language Models

This study aims to address the issues of low efficiency and high manual involvement in existing government affairs processes by proposing an automated system based on large model technology. The system integrates modules such as data collection, natural language processing, business rule engine, process generation, and intelligent applications. Innovations include using large models to transform unstructured government information into executable rules, automatically generating process models and documents, and implementing intelligent approval and automated verification at key nodes. Experimental results indicate that the system significantly enhances the automation level and execution efficiency of government affairs processes, providing a new solution for the intelligent transformation of government management.