Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) is revolutionizing business decision-making by enabling real-time intuitive access to complex sensor data. This paper presents an AI-powered assistant that allows enterprises to query, process, and visualize IoT-generated data through natural language interactions. Using large language models, automated analytics, and intelligent dashboards, the assistant streamlines the entire data pipeline - from data retrieval to predictive modeling - without requiring technical expertise. A case study demonstrates the assistant’s application in monitoring energy consumption and temperature variations in multiple facilities, using a fusion-based IoT platform. The paper concludes by outlining future enhancements, including real-time streaming, multimodal interfaces, and domain-specific adaptation, positioning the assistant as a scalable and intelligent layer within enterprise IoT ecosystems.