Is Your CMDB Ready for ServiceNow AI? A Live Assessment and Remediation Framework

ServiceNow's AI vision from Knowledge 2026 is real. AI Control Tower, AI Specialists, AIOps, Autonomous Security. But for infrastructure-aware AI to actually work, it needs accurate, connected CMDB data underneath it.

Most teams won't discover their CMDB gaps until an AI feature fails to deliver on its promise.

In this session I'll walk through how I think about CMDB readiness for AI adoption. What a healthy CMDB actually looks like in practice, where most instances fall short, and how to prioritize remediation without getting overwhelmed. I built Snovai, an AI copilot for ServiceNow powered by Claude, and we'll use it to run a live assessment against a real ServiceNow instance and work through the findings together: discovery coverage, relationship density, service mapping gaps, lifecycle management, and what each gap actually means for the AI capabilities your organization is trying to adopt.

My hope is you leave with a practical framework you can apply to your own instance the same day.

See your instance the way ServiceNow's AI does.