In the rapidly evolving landscape of artificial intelligence, the fusion of Generative AI with operational data represents a vast, yet largely untapped, reservoir of opportunity. This fusion holds the key to unlocking opportunities that could redefine industry standards and value propositions. Despite the impressive capabilities of Large Language Models (LLMs) in generating human-like text, their limitations in processing structured data from databases present significant challenges. This presentation introduces a pioneering solution: an intelligent Agent designed to bridge this critical gap. By transforming structured data into a language that GenAI can comprehend, this Agent enables LLMs to grasp the nuanced relational dynamics within enterprise data, overcoming inherent design blindspots and contextual gaps that have hampered relevant insight generation. Merging structured data with Generative AI enables companies to unlock the comprehensive range of insights buried within their datasets, driving innovation, accelerating growth, and establishing a competitive advantage. We will explore the significant impact of this synergy on operational efficiencies, decision-making capabilities, and the broader landscape of AI-driven solutions. Additionally, we'll provide insights into a future where the seamless integration of GenAI and operational data