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

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.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-06-18
DOI
https://doi.org/10.30574/wjaets.2025.15.3.1045
Primary Topic
Robotic Process Automation Applications
Type
article
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article

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

Ravi Teja Balla
World Journal of Advanced Engineering Technology and Sciences
Robotic Process Automation Applications
article

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

Ravi Teja Balla
article en

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.

World Journal of Advanced Engineering Technology and SciencesVol. 15(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Robotic Process Automation Applications
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Enabling Cognitive Process Automation Using LLMs in ERP Systems with Generative AI — Ravi Teja Balla · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS