Reliable engineering AI needs more than a general-purpose model. It needs the right product context, access to engineering data, a way to apply company standards, and a human-in-the-loop workflow for verification. The strongest use cases are not open-ended design decisions. They are bounded review tasks like checking drawings, comparing requirements, applying checklists, finding similar past issues, and surfacing lessons learned before engineers approve the final decision.