For most organizations, engineering workflows are the highest-value place to start with AI. Embedding GenAI directly into development workflows enables engineering teams to move faster and accelerate time-to-delivery—bringing new products to market in days, not months. Using tools such as Cursor, Kiro, and Amazon Q Developer, engineers can achieve outcomes twice as fast on average, with greater safety and consistency. A mature accelerated development lifecycle holds huge promise for organizations. But speed without structure also creates risk. If AI-assisted engineering is adopted without guardrails, standards and processes, organizations will find themselves asking another question: Is AI worth the risk?