---
sourceDocument: Yokohama Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/intelligent-experiences

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Create AI model assets

# Create AI model assets {#ariaid-title1}

Release version: Yokohama  
Updated July 31, 2025  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read  
Create AI assets to track and manage the life cycles of your AI models.

## Before you begin

Role required: AI steward \[sn_ai_governance_ai_steward\] or Asset Owner \[sn_ai_asset_mgmt.ai_asset_owner\]

## About this task

An AI model is a program that is trained to process data and generate outputs, such as predictions, content, recommendations, and decisions, without human intervention. You can use an AI model to perform a specific task, such
as image recognition, data classification, or price prediction.

## Procedure

1. Navigate to WorkspacesAI Control Tower.
2. From the AI Control Tower, open the AI assets view.
3. From the navigation menu of the AI assets view, navigate to AI asset inventoryAI Models.
4. Select Add AI model.
5. In the Details section of the Add AI model form, fill in the fields.  
   {#create-ai-model-assets__table_osx_kg5_bfc__entry__2}

   | Field | Description |
   |-|-|
   | Name | Name of the AI model. |
   | Provider | People or organization that developed the AI model. |
   | Version | Version of the AI model. |
   | Supported languages | Languages that are supported by the AI model. |
   | Deployment guidelines | Guidelines or instructions on how to deploy the AI model. |
   | Training procedure | Method that you're using to train the AI model. |
   | Context window | Maximum number of tokens that the AI model can process and recall when generating outputs. |
   | Model size in MB | Size of the AI model in megabytes (MB). |
   | Model parameters info | Internal variables that the AI model learns during training to process data and generate outputs. |
   | Description | Brief description of the AI model. |
   | Managed by | User who is assigned to manage the AI model. This field is automatically set to the user who creates the AI model asset. Note: This field is editable only if you have the AI steward \[sn_ai_governance_ai_steward\] role. If you have the AI asset owner \[sn_ai_asset_mgmt.ai_asset_owner\] role, this field is read-only. |
   | State | State of the AI model. The options are Draft and Deployed. |
   | License details | License that you are using for the AI model. |
   | Base model | Base model, also known as a foundation model or pre-trained model, that the AI model was built from. |
   | Department | Department that the AI model belongs to. |
   | Supported locations | Locations in which the AI model is supported. |
   | Model card | Brief document that describes important information about the AI model, including the context, intended use, training data, and limitations of the model. |
   | Model weights info | Numerical parameters that define how the AI model learns during training so that it can generate more desired outputs. |
   | Required infrastructure | Integrated software and hardware components that are required for developing, deploying, and managing the AI model. |
   | Evaluation metrics report | Report that provides data for the metrics that you're using to evaluate the effectiveness of the AI model. |
   [Table 1. Details fields in the Add AI model form]

   {#create-ai-model-assets__table_osx_kg5_bfc}
6. Select Next.
7. In the Related assets section of the Add AI model form, specify the datasets and prompts that are associated with the model.
   * To specify a dataset that is associated with the AI model, search for and select the dataset from the Evaluation datasets field. You can specify more than one dataset.

   * To specify a prompt that is associated with the AI model, search for and select the prompt from the AI prompts field. You can specify more than one prompt.

     Note:  
     If an associated dataset or prompt isn't available, you can add it by selecting Add new and then following the proceeding steps in [Create dataset assets](https://servicenow-prod.fluidtopics.net/U6Dw~lnL~NGZZPMM9fnrIA "Create AI assets to track and manage the life cycles of your datasets.") or [Create prompt assets](https://servicenow-prod.fluidtopics.net/5Fq_PGE0FvtM4gMrBBEzpw "Create AI assets to track and manage the life cycles of your prompts.").
   {#create-ai-model-assets__choices_ytq_lf5_bfc}
8. Select Submit for review.  
   Note:  
   If you aren't ready to submit the AI model for review, select Save instead. You can then edit it and submit it for review later by navigating to AI assetsLifecycleOnboard and then selecting the AI model from the list. When the AI asset record opens, select Edit to continue editing the AI model details.

## Result

The AI model is added to your AI asset inventory. It automatically enters the onboard stage of the AI asset life cycle and is updated with a Lifecycle status of AI steward review.

## What to do next

Users who are assigned the AI steward (sn_ai_governance.ai_steward) role can start the review process to begin tracking and managing the life cycle of the AI model. For detailed instructions, see [Complete AI asset lifecycle](https://servicenow-prod.fluidtopics.net/Y2jDKXES5Xe_FNAvMcQHuA "Complete the AI asset lifecycle process starting from assessment through deployment.").

*[\>]: and then