--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # AI Admin Center Overview (Next Experience UI) # AI Admin Center Overview dashboard (Next Experience UI) {#ariaid-title1} Release version: Brazil Updated October 5, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 minutes to read Use the AI Admin Center Overview dashboard to monitor key metrics for AI asset activation, adoption, and usage across your organization. Important: Lux is the new user experience for AI Admin Center. For more information on the Lux experience, see [AI Admin Center user experience (Lux UI)](https://www.servicenow.com/docs/75zLKZS0mdrVTR9Zj8hUTQ#ai-admin-center-lux-user-experience "Use the AI Admin Center experience to set up, monitor, and manage your AI solutions."). The Next Experience AI Admin Center workspace is being prepared for future deprecation and will no longer be supported. For more information on the Next Experience UI, see [AI Admin Center workspace (Next Experience UI)](https://www.servicenow.com/docs/RErxMOqH3NTQhxEry2KgnQ#now-assist-center-workspace "Use the AI Admin Center workspace to set up, monitor, and manage your AI solutions."). In AI Admin Center version 6.1, the Next Experience and Lux user interfaces are both available. Note: This topic describes the AI Admin Center feature based on the Next Experience UI. If you're using the Lux user experience for AI Admin Center, see the Lux UI version of this topic. ## AI Admin Center Overview dashboard {#now-assist-center-overview-dashboard__section_pts_cqt_y3c} The AI Admin Center Overview dashboard displays a summary of AI asset activation, adoption, and usage across your organization. Use the dashboard to monitor the state of your AI assets and track user engagement across departments. Use the Date filter at the top of the Overview dashboard to set the time range for all metrics on the page. The default time range is Last 3 months. Figure 1. AI Admin Center Overview dashboard ## Activation {#now-assist-center-overview-dashboard__section_ht1_h5k_bjc} The Activation section displays the current number of active AI assets and their trends over the selected time range. Figure 2. Activation section of the AI Admin Center Overview dashboard Active skills : This area of the dashboard displays the total number of skills that are currently active in your instance. Use this count to understand the scale of your deployed skill library. Active assistants : This area of the dashboard displays the total number of assistants that are currently active in your instance. Use this count to track the scale of your deployed assistant configurations. Active AI agents : This area of the dashboard displays the total number of AI agents that are currently active in your instance. Use this count to understand the scope of your active AI agent deployments. Active asset trends : This area of the dashboard displays a trend line chart showing the count of active skills, assistants, and AI agents over the selected time range. Use the trend lines to monitor how your active asset inventory has changed over time and identify periods of growth or reduction across asset types. ## Adoption {#now-assist-center-overview-dashboard__section_h3t_n5k_bjc} The Adoption section shows how users across departments are engaging with AI assets over the selected time range. Figure 3. Adoption section of the AI Admin Center Overview dashboard Number of users using skills : This area of the dashboard displays the number of users who used skills in the selected time range, grouped by department. Use this visualization to identify which departments have the highest skill adoption and which may benefit from further enablement. Number of users using assistants : This area of the dashboard displays the number of users who used assistants in the selected time range, grouped by department. Use this visualization to compare assistant adoption levels across departments and identify engagement patterns. Number of users using AI agents : This area of the dashboard displays the number of users who used AI agents in the selected time range, grouped by department. Use this visualization to track AI agent adoption across your organization and identify departments with strong or limited engagement. Users by asset type : This area of the dashboard displays a trend line chart showing the number of users per asset type (skills, assistants, and AI agents) over the selected time range. Use the trend lines to compare adoption levels across asset types and identify shifts in user preferences over time. ## Usage {#now-assist-center-overview-dashboard__section_uzs_q5k_bjc} The Usage section displays the total number of executions for each AI asset type, grouped by department and asset type, over the selected time range. Figure 4. Usage section of the AI Admin Center Overview dashboard Total number of skill executions : This area of the dashboard displays the total number of times skills were executed in the selected time range, grouped by department. Use this visualization to understand which departments are driving the most skill usage and identify high-volume execution patterns. Total assistant executions : This area of the dashboard displays the total number of assistant executions in the selected time range, grouped by department. Use this visualization to identify departments with the highest assistant usage and compare execution volumes across your organization. Total AI agent executions : This area of the dashboard displays the total number of AI agent executions in the selected time range, grouped by department. Use this visualization to track AI agent usage patterns across departments and identify areas of high or low engagement. Total executions by asset type : This area of the dashboard displays a trend line chart showing the total executions for skills, assistants, and AI agents over the selected time range. Use the trend lines to compare usage volumes across asset types and monitor changes in execution patterns over time.