Throughout state and local government, AI is moving from exploration toward practical application but adoption remains uneven, and questions around governance, risk, and responsible use are becoming increasingly important. Across financial operations, procurement, travel, expense management, auditing, fraud detection, citizen services, and more, AI is reshaping how government organizations operate. But as agencies scale AI enterprise-wide, rapid adoption can outpace a formal strategy, creating risks like shadow AI use, unknown data exposure, inconsistent processes, and limited oversight.