Enhance Discovery With Artifical Intelligence?

Tom Rausch
Tera Guru

3 weeks ago

What are some ways I can enhance ServiceNow Discovery with features provided by artifical intelligence?

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Matthew_13
Mega Sage

3 weeks ago

Hi Buddy,

Some ways I see great use of it are:

  • Improve CI quality by normalizing names, correcting CI classes, and flagging duplicates

  • Smarter reconciliation by identifying likely duplicate or conflicting CIs

  • Detect gaps and failures in Discovery runs (missing data, failing patterns, bad credentials)

  • Change and drift detection by flagging unusual CI or relationship changes

  • Assist service mapping by suggesting relationships and ownership where data is incomplete

Simply put, AI helps clean, validate, and interpret Discovery data, reducing manual CMDB work and improving accuracy.

 

@Tom Rausch - Please mark Accepted Solution and Thumbs Up if you found Helpful 🙂

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Tom Rausch
Tera Guru
In response to Matthew_13

2 weeks ago

Hello, @Matthew_13 

 

I agree. AI can provde benefits such as improver CI quality and smarter reconciliation.

 

Here is my question to you: What tools in ServiceNow can provide these benefits and improvements?

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Matthew_13
Mega Sage
In response to Tom Rausch

2 weeks ago

Good question. In ServiceNow, these benefits don’t come from one single “AI tool” but from several capabilities working together.

CMDB Health and Data Manager help improve CI quality by highlighting missing data, incorrect classes, and relationship issues. The Identification and Reconciliation Engine (IRE) handles smarter reconciliation by preventing duplicates and resolving conflicts across data sources. Discovery and the Discovery Health Dashboard surface gaps like failed scans, bad credentials or incomplete patterns. AIOps and CI anomaly detection help flag unusual CI or relationship changes that can indicate drift or data issues. Service Mapping supported by ML  helps infer relationships and ownership when information is incomplete.

So basically AI isn’t replacing CMDB discipline—it’s augmenting Discovery, reconciliation, and governance to reduce manual effort and improve trust in the data.

 

@Tom Rausch - Please mark Accepted Solution and Thumbs Up if you found Helpful  🙂

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