---
sourceDocument: Yokohama IT Operations Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/it-operations-management

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama IT Operations Management

ft:clusterId :

    - itom

bundleId :

    - itom

workflow :

    - Technology


---

# Exploring ServiceNow Otto for ITOM

# Exploring ServiceNow Otto for IT Operations Management (ITOM) {#ariaid-title1}

* Release version: Yokohama
* 
* Updated July 31, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

The ServiceNow Otto for IT Operations Management (ITOM) application uses generative AI to provide alert analyses. Alert analyses include a human-readable brief of the alert and technical information to help you investigate the alert more
effectively.
Alert analysis is a crucial feature that completely transforms the alert triage process and can help achieve faster, seamless alert management. Powered by generative AI, it uses a large language model (LLM) to generate
human-readable alert titles and detailed descriptions based on enriched and actionable alert data. The AI-generated alert information facilitates quick alert triage and effective analysis for your team, which can lead to a
substantial reduction in resolution time.

Alert analysis enhances the efficiency and effectiveness of alert management.  
Key features include:

* Automatic generation of clear, easy-to-understand alert descriptions.
* Availability of the analysis in the Alert form and Express List.
* Ability to refresh and regenerate data using card refresh.
{#alert-summary-now-assist__ul_ttd_ymf_c1c}  
Note:  
Currently, ServiceNow Otto for ITOM only analyzes tag-based, CMDB, Log Analytics, Mixed, and Network Traffic-based alert groups. For all other alert group types, it only analyzes the parent alert.