The integration of Artificial Intelligence (AI) technologies within industrial maintenance engineering is profoundly transforming asset management and maintenance practices. This article introduces the development of an intelligent dashboard that utilizes generative AI-based chatbots to display complex maintenance data intuitively and interactively. Trained on extensive databases from a company specializing in asset management, this tool is capable of identifying patterns, forecasting maintenance needs, and recommending proactive actions. This work presents an analytical instrument that streamlines the visualization of essential maintenance indicators, allowing specialists to customize the dashboard according to the specific requirements of each operational environment. A case study based on current data demonstrates the tool's effectiveness in enhancing asset management efficiency and promoting sustainable maintenance practices, aligned with Industry 4.0 advancements. Additionally, this study explores the role of digital twins, initiating a discussion on the scope of work developed within this field of knowledge.