This article demonstrates how large language models create defensible value in regulated, engineered, and mission-critical workflows. We map the specific capability patterns we have validated across thirteen implementations so that senior leaders can distinguish between experimental AI and enterprise-grade infrastructure, and understand what it takes to build for consequence.