Business rules change constantly, yet the deterministic engines that enforce them remain hard to author, test, and maintain. This talk shows how agentic AI augments, rather than replaces, rule engines: translating business intent into precise, verifiable rules, catching conflicts before deployment, and enabling safe, auditable change through AI-assisted impact analysis and automated regression testing. The result is a practical pattern that pairs the reliability of deterministic execution with the adaptability of agentic AI.