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Create AI model Private Preview

You can create AI models in Atlan to govern and manage AI applications. AI models help you track model versions, configure training datasets, and maintain compliance with your organization's AI policies.

Prerequisites​

Before you begin, make sure you have:

  • Admin permissions in Atlan. Only admins can create AI apps and configure their settings. Alternatively, if a member has access to an AI policy persona with appropriate permissions, they can create and manage AI models and apps. Learn more about admin roles and AI policy.
  • Private Preview enabled for your tenant. Contact your Atlan customer team to enable Private Preview for AI Governance features.

Enable AI governance​

Before you can create or manage AI models, you need to enable AI Governance in your Atlan workspace.

  1. In your Atlan workspace, click the Admin icon in the left sidebar.

  2. Navigate to the Labs section.

  3. Locate the AI Governance toggle and enable it. If you don’t see the AI Governance toggle, Contact Atlan Support.

  4. The AI Governance features are now available in your workspace.

Create AI model​

After enabling AI Governance, you can create your first AI model in Atlan. This enables you to register model details, assign ownership, and associate relevant datasets for complete visibility and governance.

  1. In your Atlan workspace, open AI from the left sidebar.

  2. From the top right corner, click New and select AI model.

  3. In the Overview page, add details such as:

    • Name: Enter a descriptive name for your AI model, such as Customer Churn Predictor.

    • Description: Summarize what the model does and how it’s used. For example, Predicts likelihood of customer churn using historical purchase and support data.

  4. Select an Owner to assign responsibility for the model’s management and compliance.

  5. Set the Model status to Active to make it available for AI applications.

  6. Specify the Model version to track changes over time and differentiate between iterations.

  7. In the Datasets section, select the existing data assets that your model uses across different stages. You can choose datasets for Training, Testing, Validation, Inference, and Output.

    For each stage, choose the relevant tables, views, or assets from your workspace. Each selected dataset is cross-linked with the AI model, helping you visualize data lineage and dependencies.

  8. In the Additional details section, add organization-specific information such as Custom metadata. This section appears only if custom metadata sets are configured for AI applications on models.

  9. Review and Publish the AI model. If there is a New Entity Creation workflow active for AI assets, clicking Publish triggers the workflow. The AI model is only published once the workflow is approved.

Once published, you can create AI apps with these models. See Create AI app to learn how to build applications using your AI models.

See also​

  • AI policy: Learn how to configure AI policies to control access to AI models and apps.
  • Create AI app: Learn how to create AI applications using your models.