Conversational AI chatbots play an important role across both institutions and industries, revolutionizing the way organizations interact with users. Their ability to provide instant, personalized responses has made them essential tools for improving customer service, streamlining processes, and enhancing user engagement. The goal of this master's thesis is to explore the development of an AI-powered chatbot designed to facilitate the process of answering frequently asked questions (FAQs) and handling ticket inquiries for prospective students at the Politecnico di Torino (PoliTO) International Mobility Unit. Leveraging the Rasa platform, this project implements both rule-based and generative AI approaches to enhance the efficiency and accuracy of responses.