AI-POWERED DIGITAL ASSISTANT TO ENHANCE USER EXPERIENCE AND ACCESS TO KNOWLEDGE IN A RESOURCE PLANNING PLATFORM

The digital transformation in the oil and gas industry has driven the development of complex analytical platforms aimed at decision support and the integration of operational data. However, the increasing sophistication of these systems increases the difficulty of use and efficient access to the technical knowledge necessary for their operation. This work presents the development and evaluation of a conversational assistant based on Artificial Intelligence integrated with the PRISMA platform, used in the field of well supply. The solution was implemented using Retrieval-Augmented Generation (RAG) architecture, allowing natural language responses to be generated from the system's official documentation. The study describes the development cycle of the project, its technical architecture and the results obtained in automated and human evaluations. The results indicate that the assistant contributes to improving usability, user autonomy and access to operational knowledge in complex digital environments.