I'm trying to understand how ServiceNow AI/Now Assist works with ITOM when a critical alert is generated.
For example, suppose a production application becomes unavailable and multiple alerts are generated from different infrastructure components.
How does ServiceNow AI determine what is actually important and identify the probable root cause?
Specifically:
- How does AI correlate multiple alerts and identify related events?
- How does it use CMDB and Service Mapping information to understand service impact?
- How does it determine the probable root cause?
- How does it differentiate between the actual root cause and symptoms/dependent alerts?
- Can AI recommend or execute remediation automatically?
- Where does human approval or intervention come into the process?
I'm particularly interested in understanding the end-to-end flow from Alert > Event Correlation > CMDB/Service Mapping > AI Analysis > Root Cause > Remediation.
Any practical example or real-world implementation experience would be greatly appreciated.
