With the advent of the information age, the management of enterprise archives has shifted from traditional paper based and manual operations to digital and intelligent management. Archives are an important basis for enterprise operation and decision-making, and their management quality directly affects the efficiency and competitiveness of the enterprise. This paper studies the informationization construction of enterprise archive management based on artificial intelligence, focuses on analyzing the current situation of enterprise archive management and an overview of artificial intelligence technology, proposes an AI based framework for enterprise archive management informationization construction, and deeply explores key issues such as system architecture design, AI technology integration, data management strategy, and security and privacy protection.