Retail business teams had access to extensive enterprise data across sales, orders, customers, products, invoices, and collections, but extracting meaningful answers often required technical expertise and support from BI teams. The complexity of the underlying Snowflake data model, varying levels of data granularity, and the need for consistently defined business metrics made self-service analytics difficult. As demand for faster, on-demand insights increased, the organization needed a secure and governed way for business users to interact with enterprise data using natural language—without compromising accuracy, transparency, or control.