Three characteristics make an engineering design workflow well-suited for AI agents. First, workflows that require high consistency — tasks like verifying title block completeness, checking revision consistency, and applying the same interpretation of design standards every time benefit from being executed identically, which agents do better than rotating groups of human reviewers. Second, workflows that involve large volumes of reference information, such as lengthy design standards, supplier specifications, and historical lessons learned, where it is unreasonable to expect a human to review hundreds of pages of guidelines for each review. Third, workflows performed at high volume, where even modest time savings per review compound quickly across tens of thousands of annual drawing reviews.