---
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 Performance Explorer

# AI Admin Center Performance Explorer dashboard {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read  
Use the AI Admin Center Performance Explorer dashboard to review and analyze the execution details of assistants and AI agents across your organization.

## 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/4noxmlQoHeD2FqqUI0mIMw "Learn how Conversation Insights can help you to augment conversation insights with AI-based Inferred customer satisfaction (CSAT) scores and factors.") for more information.

## Skills {#now-assist-center-performance-explorer-dashboard__section_pe_skills}

The Skills tab displays the following additional KPIs at the bottom of the skills table:

Total skill execution
:   The total number of times skills were executed.

Daily skill execution
:   The number of times skills were executed on a given day.

Average daily unique users engaging with AI
:   The average number of distinct users who engaged with AI skills per day over the selected period.

Daily unique users engaging with AI
:   The number of distinct users who engaged with AI skills on a given day.

Skill execution usage comparison by top 10 departments
:   A comparison of skill execution usage across the top 10 departments by volume.