---
sourceDocument: Australia IT Operations Management
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/it-operations-management

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia IT Operations Management

ft:clusterId :

    - itom

bundleId :

    - itom

workflow :

    - Technology


---

# AIOps 360 overview dashboard

# AIOps 360 overview dashboard {#ariaid-title1}

Release version: Australia  
Updated November 5, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 minutes to read
Summarize  
![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of AIOps 360 overview dashboard

The AIOps 360 Overview dashboard in ServiceNow provides a centralized, comprehensive view of IT operations performance and value delivered through AIOps.
It helps teams monitor operational efficiency, alert management, and automation impact, enabling data-driven decisions and faster incident response.
This dashboard enhances visibility into how AIOps reduces manual effort, noise, and outages, supporting smarter and more effective IT operations.
Show full answer Show less  

## Prerequisites and Access

* The Event Management application must be installed.
* Users require ServiceNow AI Platform roles: **evtmgmtadmin** or **evtmgmtoperator**.
* Access the dashboard via **Workspaces \> Service Operations Workspace**, then select the AIOps Dashboard icon from the left navigation pane.

## Key Features

### Breakdowns

* **Value overview:** Focuses on operational efficiency and savings from automation and alert grouping.
* **Performance overview:** Focuses on alert and incident handling performance, including resolution times and automation effectiveness.

### Value overview section

Filters like Date and Assignment Group allow customization to analyze specific teams or periods. This section highlights metrics demonstrating the impact of AIOps on reducing manual effort and operational costs, including:

* **Estimated total time saved:** Hours saved through alert automation and grouping.
* **Time saved by AI:** Hours saved by AI-driven actions like noise classification and AI analysis, distinct from rule-based automation.
* **Workload savings:** Reduction in manual tasks through filtering, grouping, automatic alert closure, and incident prevention.
* **Noise reduction:** Effectiveness in ignoring duplicate or irrelevant events, typically above 90%.
* **Last reported outage:** Date of the most recent major service or server outage.

Administrators can adjust the mean resolution time parameters for accurate time saved calculations through system properties.

### Performance overview section

This section measures how efficiently alerts are handled, helping identify slow responders and optimize workflows. Key metrics include:

* **Alert MTTR:** Mean time to resolve alerts by assignment group and severity.
* **Alert MTTx over time:** Trends in resolution time, group assignment time, and reassignment frequency.
* **Critical alerts by CI location:** Geographic distribution of critical alerts to identify hotspots.
* **Resolution types by assignment group:** Breakdown of alert closures, highlighting automated closures and alerts closed due to time thresholds, which indicate unattended alerts.

## Important Considerations

For new instances (starting with the Australia release), some dashboard metrics or visualizations may initially appear blank or incomplete due to limited historical data. Data completeness improves as alert processing continues over time.  
The AIOps 360 Overview dashboard offers a unified view of value and performance across IT operations, helping teams track efficiency, monitor alert handling, and assess automation outcomes. It enhances visibility into AIOps
impact, supports informed decisions, and drives faster, smarter operations.

## Prerequisites {#aiops-360-overview-dashboard__section_h2z_qvd_xbc}

Ensure that the Event Management application is installed.

## Required ServiceNow AI Platform roles {#aiops-360-overview-dashboard__section_adf_md3_yfc}

* evt_mgmt_admin
* evt_mgmt_operator
{#aiops-360-overview-dashboard__ul_bdf_md3_yfc}

## Access the AIOps 360 overview dashboard {#aiops-360-overview-dashboard__section_n2z_qvd_xbc}

To open the dashboard, navigate to WorkspacesService Operations Workspace. From the left navigation pane, select the AIOps Dashboard icon (![AIOps Dashboard icon]()). The AIOps 360 overview dashboard page opens.

## Breakdowns {#aiops-360-overview-dashboard__section_apb_mvm_xxb}

Breakdowns available in the AIOps 360 overview dashboard are:  
* Value overview
* Performance overview
{#aiops-360-overview-dashboard__ul_t4y_rz2_qyb}

## Value overview section {#aiops-360-overview-dashboard__section_blj_dg1_mfc}

Use filters such as Date and Assignment Group to customize the dashboard view and focus on specific time periods and teams. This helps you pinpoint trends, identify areas for
improvement, and make data-driven decisions tailored to your operational needs.

The Value overview section highlights the overall impact of AIOps on operational efficiency. It showcases how much manual effort has been reduced through automation and intelligent alert grouping. It also reflects noise
reduction levels, outage history, and overall workload savings---giving a clear picture of time and cost benefits realized.

{#aiops-360-overview-dashboard__table_qdt_2g1_mfc__entry__2}

| Metrics | Description |
|-|-|
| Est. Total time saved | Sum of time saved through alert automation and alert grouping, calculated in hours. |
| Est. Total time saved by AI | Sum of time saved through AI-driven actions such as automatic noise classification and AI-generated analysis, calculated in hours. This is distinct from time saved by rule-based alert automation and grouping. |
| Est. Total time saved by automation | Time saved based on the number of alert automation rules executed multiplied by the mean resolution time per alert, calculated in hours. The mean resolution time can be adjusted by administrators in AllSystem PropertiesAll Properties. Use the sn_aiops_dashboard.ITOM.Dashboard.Avg_time_saved_by_automation_in_min property to get the actual time saved by automation, in minutes, as used by the Automation Time Saved indicator. By default, it's set to 5 minutes. |
| Est. Total time saved by grouping | Time saved based on the number of alerts grouped versus the time required to triage each alert individually, calculated in hours. The mean resolution time can be adjusted by administrators in AllSystem PropertiesAll Properties. Use the sn_aiops_dashboard.ITOM.Dashboard.MTTR_for_time_saved_by_grouping_in_min property to define the MTTR (in minutes) used in the alert grouping time saved calculation. By default, it's set to 5 minutes. |
| Workload saving | Measures the reduction in manual effort by filtering, grouping, automating alert closures, and preventing incident escalations. * Events to significant alerts: Percentage of events that were filtered out and did not convert into alerts, reduced through AIOps settings like ignore automations. * Grouped alerts: Percentage reduction in the number of stand-alone alerts due to grouping rules defined in alert grouping automations. * Auto-closed alerts: Percentage of alerts automatically closed by Respond automation, Clear event actions, or closed as part of alert group resolution. * Incident prevention rate: Percentage of alerts resolved successfully without needing escalation to incidents. {#aiops-360-overview-dashboard__ul_syt_2k1_mfc} |
| Last reported outage | Most recent date of a major outage (e.g., CMDB) affecting a service or server, based on reported outages on all classes inherited from cmdb_ci_service or cmdb_ci_server. |
| Noise reduction | Percentage effectiveness in ignoring duplicate and meaningless events. Typical customer value exceeds 90%. |
[ ]

{#aiops-360-overview-dashboard__table_qdt_2g1_mfc}

## Performance Overview section {#aiops-360-overview-dashboard__section_m1b_fg1_mfc}

This section focuses on how effectively alerts and incidents are being handled. It includes metrics like resolution times across groups, trends in detection and response, automation usage, and the distribution of resolution
ownership. It helps identify performance gaps, track improvements, and optimize response strategies across the organization.

{#aiops-360-overview-dashboard__table_lfg_5g1_mfc__entry__2}

| Metrics | Description |
|-|-|
| Alert MTTR | Alert resolution time by assignment group to identify slower-responding teams and enforce SLAs. Can also be grouped by severity using the grouping drop-down menu. |
| Alert MTTx over time | MTTR (mean time to resolve), MTTA (mean time to final group assignment), and average group reassignment count tracked over time. Indicates assignment efficiency and the ability to resolve alerts within a single group. |
| Critical alert by CI location | Critical alerts on a geographic map based on the physical or logical location of Configuration Items (CIs). Helps identify recurring hotspots for retrospective analysis and to spot regional trends. |
| Resolution types by assignment groups | Closure reasons by top assignment groups, highlighting automation closures (within 10 minutes of execution) to encourage quick resolution, and time threshold closures (after the auto-close interval), which indicate unattended alerts. You should consider the number of alerts that are automatically closed when they reach their time limit. This figure can reveal if your team is unable to resolve or close all alerts, leaving some unaddressed. |
[ ]

{#aiops-360-overview-dashboard__table_lfg_5g1_mfc}  
Note:  
If you're starting with Australia, some charts, graphs, or metrics in the dashboard may appear blank or show limited data. This is expected if there's no historical data or only a few weeks or months of data available. As your system continues to collect and process alerts, the dashboard will populate with more complete insights over time.

If you want to know about funnel visualization, see [Create a funnel visualization](https://www.servicenow.com/docs/ngvUMifF_sOhDqGP7rAS8w "A funnel visualization shows how data progresses through sequential stages, helping you identify drop-offs or bottlenecks at each step. Use it to track conversions, workflows, or process completion rates. You can add a funnel visualization to an existing dashboard or to a new dashboard.").

*[\>]: and then


