Enabling Cognitive Process Automation Using LLMs in ERP Systems with Generative AI

Balla, Ravi Teja (2025) Enabling Cognitive Process Automation Using LLMs in ERP Systems with Generative AI. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1467-1474. ISSN 2582-8266

This article examines the integration of Large Language Models (LLMs) and Generative AI within Enterprise Resource Planning (ERP) systems, highlighting the transformative impact on cognitive process automation. As organizations transition toward autonomous operations, generative AI capabilities embedded within cloud infrastructure and applications create new paradigms for intelligent automation across finance, procurement, and human resources functions. The architectural framework combines foundation models with domain-specific enterprise data to enable conversational interfaces, document understanding, text generation, and real-time decision support. These capabilities extend traditional ERP functionalities beyond conventional automation, creating systems that can reason, learn, and adapt to changing business conditions. The article explores strategic benefits, including cognitive task automation and personalized user assistance, while addressing governance considerations essential for responsible enterprise deployment, such as data sovereignty, auditability frameworks, and tenant isolation mechanisms that balance innovation with appropriate risk management.