The Potential and Applications of LLM Agents in the Business Process Lifecycle
DOI:
https://doi.org/10.15611/pn.2026.3.06Keywords:
BPM, business process lifecycle, LLM agents, Large Language Models, systematic literature review (SLR)Abstract
Aim: The article aims to identify and systematize knowledge on using Large Language Model (LLM) agents in Business Process Management (BPM). The research subject encompasses agentic solutions analyzed for their application across business process lifecycle stages.
Methodology: The Systematic Literature Review (SLR) method based on the PRISMA standard was applied. The Scopus and Web of Science databases were searched (2023-2026). The procedure included the selection and allocation of 22 tools to specific business process lifecycle phases.
Results: The creation phase is currently the most heavily supported area. In the adaptation and maturity phases, LLMs serve defensive and flexibilizing functions. A clear dominance of systems functioning as assistant agents was also demonstrated (20 out of 22 tools).
Implications and recommendations: The study highlights a research gap: a marginal share of fully autonomous agents and a lack of tools for the process breakdown phase. Future research should expand on systems supporting the deep restructuring of inefficient processes.
Originality/value: The value of this study lies in the systematization of new technological knowledge by situating it within the classic business process lifecycle. The article presents an innovative classification of AI tools, distinguishing between supporting agents and autonomous agents.
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Copyright (c) 2026 Krystian Lewandowski
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Accepted 2026-07-06
Published 2026-10-16
