A healthcare AI readiness and governance-focused session emphasized that deployment risk is not just a model problem—it requires ongoing vigilance across implementation and oversight. Drawing on the Healthcare AI Readiness Index, the discussion framed governance as an operational discipline that must evolve as systems go live. The core message: organizations need controls and processes that keep pace with real-world performance, data flows, and accountability, rather than treating governance as a one-time compliance checklist. For hospital and health-system AI teams, this provides a reminder that governance readiness can become a gating factor for scaling use cases beyond pilots.