Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing information and analysis for internal and external stakeholders. This capstone explores the research, design, and development of IRAbot, an institutional research-focused conversational artificial intelligence agent. By leveraging Morehead State University (MSU) data, IRAbot was developed with features that automate and complement standard Institutional Research processes. Implementation of this tool can positively impact MSU's data culture and practices by increasing data availability, streamlining and simplifying data retrieval, and saving Institutional Research resources by cutting down on data requests. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]