Closing CMDB Data Gaps with Custom AI Agents Episode 1
ServiceNow Community
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Feb 25, 2026
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video
In this first episode of our four-part series, we explore how ServiceNow's Now Assist can be extended with custom agentic workflows and purpose-built AI agents to close a common CMDB data gap. While automated discovery does a great job of finding configuration items and populating technical attributes, operational "grey-matter" data like Owned By, Managed By Group, and Environment is often missing or incomplete. This data may already exist in the form of CI tags or CI naming conventions, but extracting and applying it at scale is a challenge most organizations struggle with. In this episode we cover: - The use case and why it matters for CMDB health - How Now Assist can be extended beyond its out-of-the-box capabilities - An overview of the proof-of-concept solution, including an agentic workflow and two specialized AI agents - A live demo of the solution in action 0:00 - Introduction 0:54 - Now Assist for CMDB out-of-the-box capabilities 2:58 - Extending Now Assist 8:41 - Demo of AI Agent populating the CMDB based on tag values 14:42 - Demo of AI Agent populating the CMDB based on naming convention 24:05 - High level overview of solution components 29:47 - Recap and Preview Supporting blog post with code snippets and additional resources: https://www.servicenow.com/community/cmdb-blog/closing-the-cmdb-data-gap-with-purpose-built-ai-agents/ba-p/3450078
https://www.youtube.com/watch?v=xsCrJcsT6e4