---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences

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    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Explore

# Exploring Measure {#ariaid-title1}

Release version: Australia  
Updated November 5, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 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 Exploring Measure

Measure is a component of the AI Control Tower designed to help ServiceNow customers evaluate the value and cost efficiency of their AI systems.
By integrating value and cost data into comprehensive dashboards, Measure enables you to compare productivity gains against AI expenditures and monitor these metrics over time.
This helps you determine whether your AI investments deliver a positive net return.
Show full answer Show less  

## Key Features

* **Value Measurement:** Measure translates AI usage into quantifiable productivity improvements using *value templates* and *value jobs*. Value templates define metrics such as usage indicators, time saved per occurrence, and quality scores. These templates are reusable and can be applied across multiple AI systems. Value jobs run on scheduled intervals (daily by default) to collect usage and user data for reporting.
* **Cost Tracking:** You can configure costs by specifying your organization's average hourly rates and setting prices for both integrated and non-integrated AI vendors. This configuration converts AI token usage and ServiceNow Assist consumption into monetary costs, enabling accurate cost accounting.
* **Dashboards:** Dashboards aggregate value and cost data to display productivity gains, AI-related expenses, and the net return on AI investments. They provide detailed breakdowns by AI system, user, and department, highlight adoption trends, and identify AI systems with no usage.

## How Measure Converts AI Usage into Business Value

* Define value calculations via value templates that include persona, usage metrics, time saved, and quality scores.
* Convert time saved into financial value by configuring hourly rates globally or per persona.
* Input cost details for both integrated ServiceNow vendors and non-integrated vendors, using token-based or direct cost entries.
* Automatically calculate total savings (productivity gains) and total costs (token and Assist consumption) for selected periods.
* Review results on dashboards showing savings, costs, and net AI returns with detailed breakdowns by system, user, and department.

## Benefits for ServiceNow Customers

By leveraging Measure, you can systematically quantify the impact of AI on productivity, understand the financial costs associated with AI usage, and gain actionable insights via dashboards. This empowers you to make informed decisions about AI investments, optimize AI adoption across your organization, and demonstrate tangible returns on your AI initiatives.  
Measure helps you determine whether your AI systems deliver more value than they cost. It brings value and cost data together in dashboards so that you can compare productivity gains with AI spend.

Measure is one of the AI Control Tower pillars. It helps you quantify the value your AI systems deliver, track what they cost, and monitor the results over time. Measure includes the following components.

## Value {#explore-measure__section_value}

Value translates AI usage into measurable productivity metrics. It uses value templates and value jobs to assess the impact of AI usage on productivity and to calculate the productivity gains from your AI systems.

A value template is the metric that converts AI usage into productivity gains. Each template includes a usage indicator, the minutes saved per occurrence, and a quality score. Templates are reusable by design, so a single
template can be applied to multiple AI systems.

Value jobs are scheduled tasks that run at set intervals---daily (default), monthly, or quarterly---to capture usage and user metrics and to power dashboards.

## Cost {#explore-measure__section_cost}

Cost records the actual expenses associated with your AI systems, enabling AI Control Tower to compare these costs against productivity gains and calculate the net return on investment. You configure costs by entering your
organization's average hourly rate and defining prices for integrated and non-integrated vendors. The cost configuration converts token usage and ServiceNow Assist consumption into monetary costs.

## Dashboards {#explore-measure__section_dashboards}

Dashboards are where value and cost come together. Dashboards display productivity gains, AI costs, and the net return on AI investment. They break down usage and costs by user and department, highlight adoption trends, and
identify AI systems that show no usage.

## How Measure turns AI usage into business value {#explore-measure__section_how_measure_works}

Measure uses value templates, hourly rates, and vendor costs to calculate the value and cost of AI systems. The value measurement follows this sequence.

1. Define how value is calculated.

   A value template defines the calculation. The template captures a persona, a usage metric, a time value, and a quality (acceptance) value.
2. Convert time saved into financial value.

   Configure hourly rates globally or by persona to convert productivity gains, measured in hours, into monetary value.
3. Add costs for integrated vendors.

   Add cost details for ServiceNow and integrated vendors so that Measure can calculate costs from monitored usage and observability data.
4. Add costs for non-integrated vendors.

   Add cost details for vendors that aren't integrated with ServiceNow by using a token-based calculation or by entering the total cost directly.
5. Calculate savings, cost, and return.

   Total savings and total cost are calculated for the selected time period. Total savings represent the productivity gains, calculated as the total dollar amount saved by using AI systems. Total cost includes the
   overall token and Assist costs associated with using these AI systems.
6. Review results on dashboards.

   Dashboards display savings, cost, and net AI return, with breakdowns by AI system, department, and user.