Abstract: The evolution of Generative Artificial Intelligence (GenAI) has led to a growing demand for scalable and efficient platforms for managing and executing advanced models. This thesis explores the design and implementation of a cloud-based GenAI Platform, consisting of an Agentic system of Large Language Models, highlighting the architectural challenges, technologies used, and best practices proposed by IT consulting firm Target Reply to one of its clients. The purpose of the system will be to transform questions asked in natural language into formal queries in SQL language, in order to facilitate data analysis activities within business processes. This thesis will explore the approach that allows the transition from the specific technical vocabulary used by the client in their requests to the rigid schemas of SQL databases.