---
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


---

# Configuring ServiceNow AI settings

# Configuring ServiceNow AI settings {#ariaid-title1}

Release version: Brazil  
Updated November 2, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Decide what AI data your instance shares with ServiceNow, which AI assets need AI steward approval before deployment, and which AI model providers your AI systems can use.

ServiceNow AI settings apply across your instance and affect AI features throughout it, not only AI Control Tower. Review each setting against your organization's data governance and AI governance policies before you change it.

## Data controls {#aict-configuring-servicenow-ai-settings__section_data_controls}

Data controls determine whether your instance contributes data that ServiceNow uses to improve its AI models, and whether ServiceNow Otto traffic can move to Microsoft Azure datacenters during traffic spikes. For more information, see [Configuring data controls](https://www.servicenow.com/docs/wb_O2e20~kzgijlLCr290A "Choose whether your instance contributes data that ServiceNow uses to improve its AI products, and whether ServiceNow Otto traffic can move to Microsoft Azure datacenters during traffic spikes.").

## Builder controls {#aict-configuring-servicenow-ai-settings__section_builder_controls}

Builder controls keep a human approval step between building an AI asset and deploying it. You decide which asset types need AI steward approval and whether approval requests start automatically. For more
information, see [Configuring builder controls](https://www.servicenow.com/docs/9CuSowgAGNIM4ZFIYJ~Igw "Keep a human review between building an AI asset and deploying it by requiring AI steward approval for each asset type and triggering approval requests automatically.").

## AI model providers {#aict-configuring-servicenow-ai-settings__section_model_providers}

AI model provider settings limit your AI systems to the providers your organization approves, determine where AI requests are processed, and determine what happens to AI systems that the approved providers don't support. Eligible
instances can also enroll in the Model Preview Program here. For more information, see [Configuring AI model providers](https://www.servicenow.com/docs/HTZWdLUR0c_IKHmufcXWkQ "Limit your AI systems to the model providers your organization approves, control where AI requests are processed, and see how each change affects the AI systems on your instance before you save it.").

## Who can change these settings {#aict-configuring-servicenow-ai-settings__section_access}

Users with the AI steward \[sn_ai_governance.ai_steward\] or admin role can view and change ServiceNow AI settings.

## Settings in a multi-instance environment {#aict-configuring-servicenow-ai-settings__section_multi_instance}

When multi-instance management is configured, the data sharing and data overflow processing preferences synchronize from the production (manager) instance to its sub-prod (managed) instances. On a sub-prod instance, those two
settings are read-only, so change them on the production instance. For more information, see [Multi-instance](https://www.servicenow.com/docs/OTIuZD7vyKgDv5zYzEXFNw "The Multi-instance Framework enables a prod (manager) instance to manage multiple sub-prod (managed) instances and facilitate communication for AI Control Tower.").
* **[Configuring data controls](https://www.servicenow.com/docs/wb_O2e20~kzgijlLCr290A)**   
  Choose whether your instance contributes data that ServiceNow uses to improve its AI products, and whether ServiceNow Otto traffic can move to Microsoft Azure datacenters during traffic spikes.
* **[Configuring builder controls](https://www.servicenow.com/docs/9CuSowgAGNIM4ZFIYJ~Igw)**   
  Keep a human review between building an AI asset and deploying it by requiring AI steward approval for each asset type and triggering approval requests automatically.
* **[Configuring AI model providers](https://www.servicenow.com/docs/HTZWdLUR0c_IKHmufcXWkQ)**   
  Limit your AI systems to the model providers your organization approves, control where AI requests are processed, and see how each change affects the AI systems on your instance before you save it.