AI-driven intelligent document processing in government and public administration

Pingili, Ramesh (2025) AI-driven intelligent document processing in government and public administration. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1316-1326. ISSN 2582-8266

Government agencies handle daily paperwork, from tax filings and social security claims to legal documentation and public records. Traditional document processing is slow, labor-intensive, and prone to errors, leading to inefficiencies and delays in public service delivery. AI-driven Intelligent Document Processing (IDP) is revolutionizing public administration by automating document classification, extraction, and validation. By leveraging machine learning (ML), natural language processing (NLP), and robotic process automation (RPA), government institutions can reduce the processing time by over 70% while ensuring compliance with regulatory frameworks. This paper explores key applications of IDP in taxation, legal compliance, public benefits distribution, and law enforcement, highlighting real-world case studies and the future of AI in public administration.