[{"citation":{"apa":"Skolik, A. M., Kaltenpoth, S. B., Beverungen, D., &#38; Müller, O. (2026). A modular large language model agent architecture for adaptive and autonomous process-aware execution. <i>Information Systems</i>, <i>141</i>, Article 102748. <a href=\"https://doi.org/10.1016/j.is.2026.102748\">https://doi.org/10.1016/j.is.2026.102748</a>","ieee":"A. M. Skolik, S. B. Kaltenpoth, D. Beverungen, and O. Müller, “A modular large language model agent architecture for adaptive and autonomous process-aware execution,” <i>Information Systems</i>, vol. 141, Art. no. 102748, 2026, doi: <a href=\"https://doi.org/10.1016/j.is.2026.102748\">10.1016/j.is.2026.102748</a>.","short":"A.M. Skolik, S.B. Kaltenpoth, D. Beverungen, O. Müller, Information Systems 141 (2026).","chicago":"Skolik, Alexander Marcus, Sascha Benjamin Kaltenpoth, Daniel Beverungen, and Oliver Müller. “A Modular Large Language Model Agent Architecture for Adaptive and Autonomous Process-Aware Execution.” <i>Information Systems</i> 141 (2026). <a href=\"https://doi.org/10.1016/j.is.2026.102748\">https://doi.org/10.1016/j.is.2026.102748</a>.","mla":"Skolik, Alexander Marcus, et al. “A Modular Large Language Model Agent Architecture for Adaptive and Autonomous Process-Aware Execution.” <i>Information Systems</i>, vol. 141, 102748, Elsevier BV, 2026, doi:<a href=\"https://doi.org/10.1016/j.is.2026.102748\">10.1016/j.is.2026.102748</a>.","ama":"Skolik AM, Kaltenpoth SB, Beverungen D, Müller O. A modular large language model agent architecture for adaptive and autonomous process-aware execution. <i>Information Systems</i>. 2026;141. doi:<a href=\"https://doi.org/10.1016/j.is.2026.102748\">10.1016/j.is.2026.102748</a>","bibtex":"@article{Skolik_Kaltenpoth_Beverungen_Müller_2026, title={A modular large language model agent architecture for adaptive and autonomous process-aware execution}, volume={141}, DOI={<a href=\"https://doi.org/10.1016/j.is.2026.102748\">10.1016/j.is.2026.102748</a>}, number={102748}, journal={Information Systems}, publisher={Elsevier BV}, author={Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Beverungen, Daniel and Müller, Oliver}, year={2026} }"},"file_date_updated":"2026-10-08T11:00:19Z","quality_controlled":"1","oa":"1","status":"public","has_accepted_license":"1","publisher":"Elsevier BV","_id":"65626","volume":141,"user_id":"59677","ddc":["000"],"publication":"Information Systems","abstract":[{"lang":"eng","text":"Business Process Management (BPM) is evolving rapidly. Building on a rich research portfolio that spans from early workflow automation to robotic process automation (RPA), large language models (LLMs) are the most recent disruptive technologies to influence all BPM capability areas. Particularly, these technologies fuel the emerging research fields of AI-enhanced business process management systems and autonomous process execution. In a design science research approach, we develop a modular LLM agent architecture that effectively enables the adaptation and execution of business processes. The architecture integrates a Frame Agent that can generate process descriptions and an Operational Agent that autonomously executes processes based on the Frame Agent’s process descriptions. It further enables a future Tactical Agent for autonomous process adaptations. We demonstrate the architecture’s applicability and utility with the real-world case of a meter-to-cash process, comparing it to the performance of an RPA bot. Our findings provide early insights into the challenges faced by autonomous process execution and its relation with RPA in terms of adaptability, flexibility, and complexity in autonomous process execution. While researchers can build on our findings to establish modular LLM-agent architectures for autonomous process execution, practitioners can derive early insights into the design of LLM agents for process automation."}],"related_material":{"link":[{"url":"https://www.sciencedirect.com/science/article/pii/S0306437926000621?via%3Dihub","relation":"confirmation"}]},"date_created":"2026-05-14T11:19:08Z","file":[{"file_id":"67435","success":1,"content_type":"application/pdf","relation":"main_file","date_updated":"2026-10-08T11:00:19Z","file_name":"IS - Autonomous Process Execution.pdf","access_level":"closed","file_size":1988723,"date_created":"2026-10-08T11:00:19Z","creator":"dabe"}],"type":"journal_article","keyword":["Business process management","Large language models","Modular agent architecture","Autonomous process execution","AI-augmented business process management systems"],"publication_identifier":{"issn":["0306-4379"]},"author":[{"id":"92908","full_name":"Skolik, Alexander Marcus","last_name":"Skolik","orcid":"0009-0006-2519-1765","first_name":"Alexander Marcus"},{"id":"50640","last_name":"Kaltenpoth","first_name":"Sascha Benjamin","full_name":"Kaltenpoth, Sascha Benjamin"},{"id":"59677","first_name":"Daniel","last_name":"Beverungen","full_name":"Beverungen, Daniel"},{"id":"72849","first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver"}],"title":"A modular large language model agent architecture for adaptive and autonomous process-aware execution","year":"2026","article_type":"original","intvolume":"       141","publication_status":"published","date_updated":"2026-10-08T11:01:24Z","language":[{"iso":"eng"}],"article_number":"102748","main_file_link":[{"open_access":"1"}],"doi":"10.1016/j.is.2026.102748"}]