---
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


---

# Calculation and Value jobs

# Value calculation and value jobs {#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 Value calculation and value jobs

Value jobs in ServiceNow's AI Control Tower (AICT) automate the calculation of productivity value derived from your AI systems' usage data.
These jobs run on scheduled intervals---automated jobs run nightly for integrated AI systems, while manual jobs are executed monthly or quarterly for AI systems onboarded manually without usage integration.
The results feed into the Value dashboard, reflecting the productivity value calculated for the previous day.
Show full answer Show less  
The calculation process leverages Performance Analytics (PA) indicators, which must operate on a daily cadence and complete by 1:00 PM to ensure timely value computation.

## Key Features

* **Automated Value Jobs:** Run nightly for ServiceNow and third-party AI systems with usage integrations, pulling previous day usage data to calculate value.
* **Manual Value Jobs:** Scheduled monthly or quarterly, these jobs support AI systems onboarded manually without usage integrations, using custom indicators defined by the customer.
* **Failure Handling:** Automated daily jobs retry automatically upon failures and cannot be manually rerun. Manual jobs show failure reasons and can be retried by the user.
* **Active User Requirement:** Value jobs require an active user account; inactivity halts value calculation until reassigned.

## Key Outcomes

* Automatic and scheduled calculation of AI system productivity value enhances visibility into AI impact.
* Integration with Performance Analytics ensures accurate, timely value metrics aligned to daily usage.
* Clear failure notifications and retry capabilities for manual jobs improve operational reliability.
* Changes in configuration reflect on dashboards after the next scheduled run, ensuring up-to-date insights.  
Value jobs calculate the productivity value of your AI systems on a schedule. Automated jobs run each night, and manual jobs run monthly or quarterly for AI systems that you onboard manually.

## Value jobs overview {#mv-value-calculation-value-jobs__section_overview}

A value job reads the usage recorded for your AI systems and calculates the productivity value from the mapped value template. The AI Control Tower (AICT) runs value jobs on a schedule and calculates value for the previous
day. As a result, the Value dashboard shows the value from the previous day.

Value calculation uses Performance Analytics (PA) indicators. An out-of-the-box daily PA indicator job calculates the usage scores for the previous day. Any custom indicator you use for value calculation must also be daily.
It must complete its run before 1:00 PM each day so the value job can use its scores.

## Key benefits {#mv-value-calculation-value-jobs__section_benefits}

Value jobs provide the following benefits:

* Calculate value automatically each night for integrated AI systems.
* Run manual jobs on a monthly or quarterly cadence to match how you collect data.
* Show failed manual jobs with the reason for the failure so that you can rerun them.
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## Automated and manual value jobs {#mv-value-calculation-value-jobs__section_how_it_works}

The AI Control Tower runs two kinds of value jobs:

* **Automated value job:** Runs each night for ServiceNow AI systems and for third-party AI systems that use a usage integration. The job fetches the usage for the previous day and calculates value.
* **Manual value job:** Runs for AI systems that you onboard manually through the inventory intake form and that do not have a usage integration. You create manual indicators, and the job runs on the cadence set by those indicators.

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For manual value jobs, the AI Control Tower derives the cadence from the indicator type. A monthly indicator runs as a monthly job, and a quarterly indicator runs as a quarterly job.

## Failed value jobs {#mv-value-calculation-value-jobs__section_failed_jobs}

Automated daily jobs run without manual intervention and retry automatically if a run does not complete. You can't rerun a daily job manually. You can rerun a monthly or quarterly job that fails, for example after a timeout
or when a server is unavailable. The manual value jobs list filters to failed transactions by default and shows a comment that describes why each job failed.

## Considerations {#mv-value-calculation-value-jobs__section_considerations}

* A value job requires an active user. If that user is inactive, value calculation stops until you assign an active user.
* Both value and cost are calculated for the previous day, so configuration changes appear on the dashboard after the next scheduled run.
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