As organizations race to implement AI, many find themselves unprepared to manage the complexity, scale, and risks of modern AI systems. Traditional governance models weren’t built for today’s dynamic environments, where data flows are constant, models evolve rapidly, and risks extend across internal and third-party ecosystems. Effective AI governance should empower innovation by providing coordination, accountability, and alignment across teams and processes.