---
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


---

# ServiceNow AI dashboard

# ServiceNow AI dashboard {#ariaid-title1}

Release version: Australia  
Updated August 3, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read
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![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 ServiceNow AI dashboard

The ServiceNow AI dashboard serves as a centralized platform to monitor, evaluate, and analyze the performance, adoption, and financial impact of AI systems deployed within your ServiceNow environment.
It consolidates operational and financial metrics from all AI agents into a single interface, providing real-time insights on AI value delivery, cost management, and usage trends.
This enables organizations to assess AI effectiveness, support investment decisions, and identify opportunities for optimization without needing to collect data from multiple sources or manual reports.
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The dashboard is designed to meet the needs of various stakeholders:

* **Operational teams** can track AI agent performance and value delivered to end users.
* **Finance and business leaders** can evaluate return on AI investments and guide resource allocation.
* **Product and platform teams** gain insights into adoption patterns and user engagement with AI capabilities.

It supports configurable time ranges and period-over-period comparisons, allowing trend analysis and historical performance evaluation to inform AI strategy and optimization efforts.

## Key Features

The ServiceNow AI dashboard is part of the Value module and comprises these main sub-dashboards, each targeting specific aspects of AI usage and impact:

* **Value dashboard:** Aggregates data from all AI systems to monitor AI value delivery, track usage trends, and assess return on investment.
* **Engagement dashboard:** Provides visibility into user adoption, utilization patterns, AI action volume, departmental usage, and task efficiency gains to identify adoption opportunities and system effectiveness.
* **Creator Skills dashboard:** Offers insights into the use of AI-powered creator skills such as automated code generation, documentation, and testing, helping to boost developer productivity.
* **Evaluation dashboard:** Presents performance metrics for AI-generated responses, supporting quality assessment and improvement.

## Key Outcomes

By leveraging the ServiceNow AI dashboard, customers can:

* Gain a unified, real-time view of AI system performance and financial impact across their ServiceNow environment.
* Make informed, data-driven decisions regarding AI investments, resource allocation, and strategy adjustments.
* Identify adoption trends and opportunities to enhance user engagement and productivity through AI capabilities.
* Monitor AI-generated output quality to ensure value and effectiveness in operational use cases.  
The ServiceNow AI dashboard is a central hub for monitoring and evaluating the performance, adoption, and financial impact of AI systems deployed across your ServiceNow environment.

## ServiceNow AI overview {#md-servicenow-ai-dashboard__snow-ai-overview}

The ServiceNow AI dashboard consolidates operational and financial metrics from all AI agents, offering real-time insights into AI value delivery, cost management, and usage patterns. It helps organizations
evaluate AI effectiveness, support investment decisions, and identify optimization opportunities.

By consolidating AI performance data into a single interface, the dashboard eliminates the need to gather metrics from individual system sources or manual reports. It presents productivity gains, financial returns, operational
costs, and usage insights in an accessible visual format suitable for both technical practitioners and business leaders.

The dashboard serves multiple audiences and use cases. Operational teams use the dashboard to monitor whether deployed AI agents are performing as expected and delivering measurable value to end users. Finance and business leaders
use the dashboard to assess return on AI investment and make informed decisions about resource allocation. Product and platform teams use the dashboard to understand adoption patterns and identify which AI capabilities drive the
highest user engagement.

The dashboard displays metrics across configurable time ranges, enabling trend analysis and historical comparison. Period-over-period comparisons help identify whether AI value delivery, costs, and usage are improving, stagnating,
or declining, supporting data-driven conversations about AI strategy and optimization priorities.  
The ServiceNow AI dashboard in the Value module consists of three sub dashboards:

Value dashboard
:   The ServiceNow AI Value dashboard aggregates data from all AI systems in your organization monitoring AI value delivery, track usage trends, and assess return on investment.

    For more information about
    what the ServiceNow AI Value dashboard contains, see [ServiceNow AI Value dashboard](https://www.servicenow.com/docs/VxmuokxHQJHFtDMoBZqprQ "The ServiceNow AI Value dashboard provides a comprehensive view of AI system performance, value delivery, and operational metrics across your organization. The dashboard displays productivity gains, financial returns, system usage patterns, and agent performance data.").

Engagement
:   The ServiceNow AI Engagement dashboard provides visibility into user adoption, utilization patterns, and performance metrics across all AI systems in your ServiceNow instance. Monitor AI action volume, user engagement trends, departmental usage, and task efficiency gains to identify adoption opportunities and system effectiveness.

    For more information
    about what the ServiceNow AI Engagement dashboard contains, see [ServiceNow AI Engagement dashboard](https://www.servicenow.com/docs/~i0LHcmg~PvPbF_KSeo6tQ "The ServiceNow AI Engagement dashboard provides visibility into user adoption, utilization patterns, and performance metrics across all AI systems in your ServiceNow instance. Monitor AI action volume, user engagement trends, departmental usage, and task efficiency gains to identify adoption opportunities and system effectiveness.").

Creator skills
:   The ServiceNow AI Creator Skills dashboard provides insight into how your organization uses AI-powered creator skills---automated code generation, documentation, and testing capabilities---to boost developer
    productivity.

    For more information about what the ServiceNow AI Creator skills dashboard contains, see [ServiceNow AI Creator skills dashboard](https://www.servicenow.com/docs/Ypnm0m8cDPcarko25rbp2A "The ServiceNow AI Creator skills dashboard provides insight into how your organization uses AI-powered creator skills—automated code generation, documentation, and testing capabilities—to boost developer productivity. Monitor skill satisfaction, usage patterns, and outcomes to optimize adoption and identify high-performing skills across your instance.").

Evaluation
:   The ServiceNow AI Evaluation dashboard offers insights into the performance of AI-generated responses.

    For more information about what the ServiceNow AI Evaluation dashboard contains, see [ServiceNow AI Evaluation dashboard](https://www.servicenow.com/docs/CZCEpxb_k4on9E_E6C2xxg "Use the ServiceNow AI Evaluation dashboard to get a comprehensive visibility into AI agent performance.").

