The role of AI agents in construction project managementBrelih, Anja (Avtor) Robnik Šikonja, Marko (Avtor) Klinc, Robert (Avtor) AI agentsLLMproject managementconstruction workflowsconstruction informaticsThe integration of Large Language Models (LLMs) into Artificial Intelligence (AI) agents presents new opportunities for enhancing construction project management through improved collaboration, reasoning, and workflow automation. This paper investigates how LLM-powered AI agents can support complex construction tasks such as scheduling, resource allocation, risk assessment, and information coordination. We conduct a structured review of recent literature across construction informatics, AI-driven project management, and agent-based systems to identify trends, capabilities, and limitations. Our findings show that while AI agents offer strong potential to assist project teams with dynamic decision-making and routine task automation, their effectiveness is limited by data quality, domain adaptation, and the stochastic nature of LLMs. These insights are significant for researchers and practitioners aiming to introduce AI agents into real-world construction workflows, where reliability, explainability, and human oversight are essential. The paper highlights the need for further exploration of Human-in-the-Loop (HITL) designs and calls for standardisation of agent capabilities to ensure safe, transparent, and practical deployment in the construction industry.20252026-01-16 10:59:44Članek v reviji178027UDK: 004.8:624DOI: 10.18154/RWTH-CONV-254903COBISS_ID: 262894083OceCobissID: 262884355sl