Why Most Enterprise AI Governance Programs Stall After Launch
The meeting had gone well. After weeks of workshops, revisions, and stakeholder discussions, the AI governance framework was finally approved. Legal had signed off. Compliance was satisfied. Technology leaders had aligned on the operating model. The steering committee closed the meeting with a sense of accomplishment. Someone even said, “Now we have guardrails in place.” Six months later, we were back with the same leadership team. The framework hadn’t disappeared. It was still sitting exactly where it had been published. The governance committee still existed. The policies hadn’t changed. But the business had. New AI pilots had been launched without governance reviews. Teams had started using different Generative AI tools on their own. Product managers were making decisions based on delivery timelines instead of governance checkpoints. When we asked project teams how often they referred to the framework, the room went quiet. That moment stayed with us. Not because the framewor...
