Year: 2025
Type: article
Abstract: 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.
Author: Ravi Teja Balla
Institution: Jawaharlal Nehru Technological University, Kakinada
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411396756