Process automation has become essential to optimize efficiency in today's digital age. With the increasing complexity and amount of data to be managed, automation allows repetitive and time-consuming tasks to be speeded up. This work aims to create an innovative chatbot to automate specific business processes. The aim is to develop a conversation system capable of processing complex information and providing comprehensive answers in textual, tabular or graphic formats, extracted directly from company documents or databases. The most advanced open-source machine-learning models were used for the development of the chatbot. Several models were tested together with search optimization methodologies, such as RAG (Retrieval Augmented Generation) and its variants, to improve the efficiency and quality of the results.