Leveraging Large Language Models for Effective Organizational Navigation

The advent of the internet has significantly enhanced accessibility to information, facilitating the engagement of diverse communities with online resources. Despite the abundance of information available, navigating the structures of large organizations and effectively digesting essential personalized information remains a challenge. Consequently, individuals may be deterred from extracting valuable insights from already available resources. This paper addresses this issue by integrating a university’s official website into an AI chatbot powered by large language models (LLMs). We demonstrate use cases to provide information tailored to general information-seeking and personalized information needs for college major selection. We present a novel approach for individuals to gain insights into large organizations via interactive conversation. Based on our system demonstration, we further delve into the role of generative AI in synthesizing vast organizational datasets into user-friendly formats accessible to the public and its implications for E-government and open government research.