APPLICATION OF LARGE LANGUAGE MODELS IN ENTERPRISE AUTOMATION

Authors

DOI:

https://doi.org/10.30890/2709-1783.2025-41-00-008

Keywords:

large language models, enterprise automation, business process management, intelligent systems, workflow optimization, data governance, artificial intelligence

Abstract

The paper explores the integration of large language models (LLMs) into enterprise automation workflows, focusing on their role in optimizing decision-making, document processing, and customer interaction systems. The study outlines key architectures and

References

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Michele, William & Cervantes, Abel & Frermann, Lea. (2025). Automated Business Process Analysis: An LLM-Based Approach to Value Assessment. 10.48550/arXiv.2504.06600.

Toxtli, Carlos & Li, Wangfan. (2024). Automating Automation: Using LLMs to Generate BPMN Workflows for Robotic Process Automation. 10.13140/RG.2.2.25996.12165.

Singh, Shubham. (2025). Systems Engineering of Large Language Models for Enterprise Applications. 10.20944/preprints202501.0715.v1.

Grohs, Michael & Abb, Luka & Rehse, Jana-Rebecca. (2023). Large Language Models can accomplish Business Process Management Tasks. 10.48550/arXiv.2307.09923.

Published

2025-10-30

How to Cite

Tsymbal, A. (2025). APPLICATION OF LARGE LANGUAGE MODELS IN ENTERPRISE AUTOMATION. SWorld-Ger Conference Proceedings, 1(gec41-00), 65–70. https://doi.org/10.30890/2709-1783.2025-41-00-008