The purpose of the study is to develop methodological principles for integrating artificial intelligence (AI) into knowledge bases used to manage innovation projects. The goal is to increase the efficiency and effectiveness of managing such projects by using the capabilities of AI. The relevance of the study is related to: the rapid development of technologies and growing competition require organizations to constantly search for new ideas and effective ways to implement them. The integration of AI into the management of innovation projects allows you to automate routine tasks, improve decision-making and increase the efficiency of resource use. The object of the study is the processes of managing innovation projects in an artificial intelligence environment. The subject of the study is models, methods and tools for integrating AI into knowledge bases for managing innovation projects. To achieve the goal of the study, the following methods were used: analysis of scientific literature, systematic review, modeling and experiments. As a result of the study, a methodology for integrating AI into the knowledge bases of managing innovation projects was developed. Key AI technologies that can be effectively used in this process have been identified, such as machine learning, natural language processing, and data analytics. A model has also been developed that describes the interaction between AI and other components of the project management system.