The problem was less about models and more about access: forty years of orders, memos, and hard-won judgment lived in legacy systems and a few veterans' heads. BlueLabel started by building a unified data layer that pulled roughly 400,000 orders, 10,000 customers, and 4,000 products into one searchable foundation. On top of it, the team captured how the experts actually worked, their playbooks, memo patterns, troubleshooting tactics, and the common service workflows, so the assistant could answer the way a veteran would. Customer service reps ask questions in natural language and get order status, tracking, historical context, and procedural guidance back in seconds, without hopping between tools or escalating routine questions. The design deliberately supports senior experts rather than replacing them, keeping their judgment in the loop while freeing them from repetitive lookups. Just as important, the data layer and feedback loops were built as a reusable foundation, so the same groundwork can extend into future support, training, and manufacturing use cases rather than solving one problem in isolation.