Artificial intelligence has moved quickly from experimentation to everyday use inside government agencies—but governance has not always kept pace. Across state and local government, AI is now embedded in productivity tools, data analysis, customer engagement, and operational workflows, often without centralized visibility or consistent policy oversight. This session examines the current state of AI in GovTech, grounded in real-world usage data from public-sector organizations. Attendees will explore the most common AI trends and use cases emerging across agencies, where value is being realized today, and where unmanaged risk is quietly growing through “shadow AI” and embedded tools. The discussion will focus on how governments can enable innovation while maintaining accountability, transparency, and public trust. Rather than slowing adoption, effective AI governance provides the foundation for scaling AI responsibly—through visibility, risk-based controls, and policy alignment. Participants will leave with a practical framework for understanding AI activity in their organizations and building a governance model that supports both compliance and progress.