Procurement activities in the nuclear industry are critically important for the safety and stability of nuclear facilities. Errors at the procurement stage can lead to economic losses and increased risks to nuclear and radiation safety. In the context of digitalization and the development of artificial intelligence, the implementation of intelligent agent systems capable of automating routine processes and supporting decision-making is highly relevant. This article analyzes the feasibility of using agent systems, considers requirements for their deployment and the LLM models applied, and identifies potential areas of application and sources of financial benefit. Special attention is given to the “human-in-the-loop” principle, local deployment of systems, and compliance with the regulatory framework of the Russian Federation. The results show that the integration of intelligent agents can increase operational efficiency, reduce costs, and lower risks while ensuring compliance with safety requirements.