--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # AI Admin Center Performance Explorer (Next Experience UI) # AI Admin Center Performance Explorer dashboard (Next Experience UI) {#ariaid-title1} Release version: Australia Updated October 5, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 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 AI Admin Center Performance Explorer dashboard (Next Experience UI) The AI Admin Center Performance Explorer dashboard enables ServiceNow customers to review and analyze detailed execution data for assistants and AI agents deployed across their organization. This dashboard provides insights into individual executions, helping to monitor performance, identify trends, and troubleshoot issues. Show full answer Show less Note that this dashboard is based on the Next Experience UI, which is being prepared for future deprecation in favor of the new Lux UI. Both interfaces are available in AI Admin Center version 6.1, but customers using the Lux experience should refer to the corresponding documentation. ## Key Features * **Two main tabs:** Assistants and Agents, each showing execution-level data for their respective AI assets. * **Assistants tab:** Displays a table of assistant executions with filtering options by date, assistant name, result type offered, conversation end state, deflection outcome, and deflection state. * **Assistants data points include:** assistant name, execution date, result type (e.g., answer, deflection, transfer), conversation end state (e.g., open, faulted), inferred customer satisfaction (CSAT), transfer/escalation status, number of assist actions, deflection outcome/state, and effort score reflecting user interaction effort. * **Agents tab:** Shows AI agent execution records with filters for date, execution state, end-to-end latency, and agent name search. * **Agents data points include:** agent name, execution date, execution state (e.g., completed, terminated), number of tool calls, number of large language model (LLM) calls, latency metrics (end-to-end, tool, and LLM latency), assist credits consumed, and inferred CSAT. * **Reset Filters option:** Available on both tabs to clear applied filters and view unfiltered data. ## Practical Use for ServiceNow Customers ServiceNow customers can use this dashboard to: * Investigate specific assistant or AI agent executions for detailed troubleshooting or performance review. * Analyze key performance metrics such as latency, customer satisfaction, and interaction outcomes to optimize AI deployments. * Identify patterns and trends across AI asset executions to improve the effectiveness and efficiency of AI-powered services. * Monitor deflection success and conversation states to gauge assistant effectiveness in resolving user queries without escalation. * Track resource consumption like assist credits and tool calls to manage costs and usage. Use the AI Admin Center Performance Explorer dashboard to review and analyze the execution details of assistants and AI agents 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/lHQ~QQAqCp2om57kHgokVA#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/d7aSXEU_I2o5wKQYcOqhqA#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 Performance Explorer dashboard {#now-assist-center-performance-explorer-dashboard__section_pe_overview} The AI Admin Center Performance Explorer dashboard displays execution-level details for assistants and AI agents. Use the dashboard to investigate individual executions, analyze performance metrics, and identify patterns across your AI asset deployments. The Performance Explorer dashboard includes two sub-tabs: Assistants and Agents. Each sub-tab displays a table of individual executions for the selected asset type. ## Assistants {#now-assist-center-performance-explorer-dashboard__section_pe_assistants} The Assistants tab displays a list of individual assistant executions. Use the Date, Assistant Name, Result Type Offered, Conversation End State, Deflection Outcome, and Deflection State filters to narrow results. Select Reset Filters to clear all applied filters. Figure 1. Assistants tab of the AI Admin Center Performance Explorer dashboard Assistant Name : The name of the assistant that was executed. Select the assistant name to view the full execution record. Executed On : The date on which the assistant execution occurred. Result type Offered : The type of result that the assistant offered during the execution, such as an answer, a deflection, or a transfer. Conversation End State : The state of the conversation at the end of the execution, such as Open or Faulted. Inferred CSAT : The inferred customer satisfaction score for the execution, calculated based on conversation signals. Transfers and escalation : Indicates whether the conversation was transferred or escalated to a live agent during the execution. Assist : The number of assist actions performed by the assistant during the execution. Deflection Outcome : The outcome of the deflection attempt, indicating whether the conversation was successfully deflected. Deflection State : The state of the deflection for the execution, such as deflected or not deflected. Effort Score : A score reflecting the level of effort required by the user to complete the interaction, based on conversation signals. ## Agents {#now-assist-center-performance-explorer-dashboard__section_pe_agents} The Agents tab displays a list of individual AI agent executions. Use the Date, State, and E2E Latency (S) filters, or the Search Agent field, to narrow results. Select Reset Filters to clear all applied filters. Figure 2. Agents tab of the AI Admin Center Performance Explorer dashboard Agent Name : The name of the AI agent that was executed. Executed On : The date on which the AI agent execution occurred. State : The state of the AI agent execution, such as Completed or Terminated. Tool Calls : The total number of tool calls made by the AI agent during the execution. LLM Calls : The total number of large language model (LLM) calls made by the AI agent during the execution. E2E Latency (S) : The end-to-end latency of the execution, in seconds, measured from the start to the completion of the AI agent run. Tool Latency : The cumulative latency contributed by tool calls during the execution. LLM Latency : The cumulative latency contributed by LLM calls during the execution. Assists Consumed : The number of assist credits consumed by the AI agent during the execution. Inferred CSAT : The inferred customer satisfaction score for the execution, calculated based on interaction signals. See [Exploring Conversation Insights](https://www.servicenow.com/docs/4cpu1lrNLhg152L9AdSezw "Learn how Conversation Insights can help you to augment conversation insights with AI-based Inferred customer satisfaction (CSAT) scores and factors.") for more information.