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Industry 4.0 (I4. 0) has revolutionised industrial operations by enabling remote monitoring and control of machines, thereby enhancing productivity through data analysis. Dashboards have traditionally been the primary interface for accessing and interpreting data. However, they can lack adaptability and may overwhelm users with information. It is important to consider alternative methods of presenting data to avoid information overload. In response, Industry 5.0 (I5. 0) has emerged, advocating for a human-centric approach. Advancements in technology, specifically auto-regressive Large Language Models (LLMs), have enabled the development of Intelligent Cognitive Assistants (ICAs) that enhance user interactions through natural language dialog. This paper presents the initial steps towards constructing an LLM-based ICA for I5. 0 applications. Our system integrates industrial data from IoT-connected machines into a chatbot interface, with the aim of simplifying the decision-making process for managers and operators. Through expert evaluation, we are iteratively refining our prototype before conducting usability tests with end-users. This will lay the groundwork for future developments in human-centric industrial solutions.