The development of the energy intelligence dashboard redefined how Kirloskar Group interacts with its operational data. In addition to real-time monitoring and advanced analytics, the platform includes an integrated layer of Retrieval-Augmented Generation and a fine-tuned language model that allows users to ask context-aware questions directly on top of the energy database. This AI layer acts as a smart assistant within the system. Users can ask things like “Which meters showed abnormal spikes yesterday?” or “Compare last quarter’s consumption across all plants,” and receive clear, relevant responses grounded in their own data. The fine-tuned model understands Kirloskar’s internal language, plant structure, and operational nuances — making interactions natural, precise, and aligned with how the business actually works. With this AI capability embedded into the platform, the dashboard goes beyond traditional reporting, it becomes an intelligent decision-support system that empowers everyone from operators to leadership with fast, reliable, and deeply contextual insights.