Usage and adoption

  • Release version: Australia
  • Updated March 12, 2026
  • 4 minutes to read
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    Summary of Usage and Adoption

    The Usage and Adoption dashboard in ServiceNow provides key performance indicators to help you evaluate AI adoption across your organization. It serves as the landing page for monitoring AI usage and adoption trends within selected products, channels, and time periods. This dashboard is divided into two tabs: Usage Summary and Adoption, offering detailed insights into AI skill engagement and departmental adoption.

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    Usage Summary

    This section presents metrics related to AI skill usage and user engagement:

    • Total AI Actions: Displays the total number of AI skill executions (actions) within the selected date range, filterable by product and channel.
    • Daily AI Actions: Shows the count of AI actions executed each day, enabling you to identify periods with increased or decreased activity.
    • Average Daily Unique Users: Indicates the average number of unique users engaging with AI skills each day, reflecting overall user adoption.
    • Daily Unique Users: Displays the daily count of unique users triggering AI actions, supporting detailed user engagement analysis.
    • Skill Group Distribution: Visualizes usage trends across different AI skill groups, allowing you to identify high-demand skills and those requiring further attention.
    • Daily Usage Comparison by Workflow: Compares AI action counts by workflow on a daily basis to understand workflow-specific adoption.
    • Skill Engagement Trend: Tracks individual skill usage trends over time, helping you spot changes in demand and engagement levels.

    Adoption Insights

    This section focuses on how AI adoption varies across departments and user feedback:

    • Departments with Highest Usage: Highlights departments with the greatest AI action counts, helping identify key adopters within your organization.
    • AI Actions Comparison by User Department: Breaks down the number and types of AI actions executed by different departments for comparative analysis.
    • Feedback Details: Summarizes user feedback on AI actions, including counts of total feedback and positive feedback, to gauge user satisfaction.
    • Error Details: Reports AI actions that resulted in errors, supporting identification of issues that may impact adoption or performance.

    Practical Use

    ServiceNow customers can leverage this dashboard to monitor AI skill utilization, user engagement, and departmental adoption effectively. Using filters for date range, channel, and product, you can tailor the insights to specific periods or business units. This enables data-driven decisions to enhance AI adoption, identify training or support needs, and track the impact of AI capabilities on your organization’s workflows.

    The Usage and adoption dashboard page contains key usage and performance indicators that help you evaluate AI adoption in your organization.

    The Usage and adoption dashboard page is the landing page for the dashboard. The Usage and adoption dashboard page contains two tabs that provide insights on usage summary and adoption.

    The Usage summary page includes indicators on total and daily AI actions, skill distribution and engagement trend, and daily unique users who have used AI skills. The Adoption page tracks the departments with the highest AI usage, comparison of actions by department, and feedback and error details. Use the date range, channel, and product filters to view usage and adoption indicators for the selected period, channel, and product, respectively. The default date range is 30 days.

    Figure 1. Usage and adoption dashboard page
    Usage and adoption dashboard page.
    The indicators on the Usage and adoption dashboard page provide the following insights. See AI Analytics dashboard indicator details for information on data source and calculations behind each indicator on the page.
    • Skills engagement trend for a selected period can reveal skills that have been used more frequently or less frequently.
    • Total and daily actions for a selected period can reveal the scale of AI actions executed. The trend line in the visualization shows periods of increased or declining engagement.
    • Average and daily unique users can reveal user engagement with AI skills.

    Usage summary indicators

    Total AI actions
    This area of the dashboard shows the total number of AI actions in the selected date range. A single use of an AI skill represents an action. Select a filter combination to view the number of actions by products or channels. For example, you can view the number of AI actions executed through the ServiceNow Otto for Virtual Agent channel for ServiceNow Otto for Customer Service Management (CSM) product.
    Figure 2. Total AI actions indicator
    Total AI actions indicator.
    Daily AI actions
    This area of the dashboard shows the number of AI actions executed per day in the selected date range.
    Figure 3. Daily AI actions indicator
    Daily AI actions indicator.
    Average daily unique users engaging with AI skills
    This area of the dashboard shows the average number of daily unique users who engaged with AI actions in the selected date range. Average number of daily unique users is an indicator of the level of AI engagement across selected ServiceNow Otto products and channels.
    Figure 4. Average number of unique users per day who triggered actions indicator
    Average daily unique users engaging with AI skills.
    Daily unique users engaging with AI skills
    This area of the dashboard shows the daily unique users who engaged with AI actions in the selected date range.
    Figure 5. Daily unique users engaging with AI skills indicator
    Daily unique users engaging with AI skills.
    Skill group distribution
    This area of the dashboard shows the skill usage in a trend chart for the selected filters. The visualization is interactive. Use the Group by filter to apply predefined breakdowns. Hover over the trend lines to see the number of times that each skill was used. Selecting one or more items in the legend removes the trend line for those items. You can compare and contrast skill usage distribution in a date range to understand in-demand skills, and skills that are low on usage and need further analysis.
    Figure 6. Skill group distribution indicator
    Skill group distribution indicator.
    Daily usage comparison by workflow
    This area of the dashboard shows the number of AI actions executed per day against each workflow in the selected date range. Hover over a bar to view the count of AI actions executed for a workflow on that day.
    Figure 7. Daily usage comparison by workflow indicator
    Daily usage comparison by workflow indicator.
    Skill engagement trend
    This area of the dashboard shows the skill usage in a trend chart for the selected filters. The visualization is interactive. Hover over the trend lines to see the number of times that each skill was executed. Selecting one or more skills in the legend removes the trend line for those skills. You can compare and contrast skill usage levels in a date range to understand in-demand skills, and skills that are low on usage and need further analysis.
    Figure 8. Skills engagement trend indicator
    Skills engagement trend indicator.

    Adoption indicators

    Departments with highest usage
    This area of the dashboard shows the departments with the highest usage of AI actions in the selected date range. Hover over the horizontal bars to view the count of actions for a particular department.
    Figure 9. Departments with highest usage indicator
    Departments with the highest usage number of AI actions indicator.
    AI actions comparison by user department
    This area of the dashboard shows the number and type of AI actions executed against each department in the selected date range.
    Figure 10. AI actions comparison by user department indicator
    AI actions comparison by user department indicator.
    Feedback details
    This area of the dashboard shows the number of AI actions, number of feedback provided by users of AI actions, and number of AI actions with positive feedback in the selected date range.
    Figure 11. Feedback details indicator
    Feedback details indicator.
    Error details
    This area of the dashboard shows the number of AI actions and the number of AI actions resulting in errors.
    Figure 12. Error details indicator
    Error details indicator.