AI Governance asset pages

Updated: June 4, 2025

The AI Governance asset pages are working records where stakeholders can collaborate as an AI agent, AI model, or AI use case evolves, to capture critical details as they become known. The asset pages are intended to be a single source of truth, where all stakeholders can quickly identify the business value and all associated risks.

Note The AI Model and AI Use Case asset pages are tailored asset pages. Tailored asset pages include a drag-and-drop layout editor, asset layout widgets (for example, the Lifecycle tracker widget), and other features that enable administrators to customize the presentation of asset pages for all users. For complete information, go to Tailored asset page.

This topic presents some of the more notable features of the asset pages.

Choose an image:

Summary tab, with expanded details, Lifecycle tracker, and the At a glance sidebar. Summary tab, with collapsed details and the Task sidebar. Data Flow tab. Responsibilities tab.

No.	Element	Description
	Summary tab	Shows all of the asset details. For AI models and AI uses cases, many of these details are provided primarily via the assessments. You can edit, add and delete details. Important Be mindful of the edits you make on the asset page before the assessments are completed and approved. When an assessment is approved, depending on the assessment type, certain assessment responses are copied to the asset page. If you manually edit the attributes of an asset, some of the values might be overwritten when the assessment is approved. For more information, go to: Mapping of copied assessment responses and asset characteristics Copy response to asset Tip If you want to manually fill out the details without conducting the prescribed assessments, you can create the asset via the global Create button. When you create an asset that way, no assessments are started. You can then add details to the various sections of the asset page as you would an asset of any other type, knowing the values won't be overwritten by an assessment. When you're on the asset page, remember to switch on the Show Empty Optional Values option, to see all of the available fields.
	Data Flow tab	Specific only to AI Use Case assets, this shows a diagram view of the AI Use Case asset, depicting all of the relations that exist between the AI use case and other assets, for example linked AI Model and AI Agent assets. Click the Explore Diagram link to open the view in the Diagrams app.
	Collapse All / Expand All buttons	Allows you to expand or collapse all of the sections of the asset page in a single click.
	Responsibilities tab	Shows the Owner that was specified when registering a new AI agent, AI model, or AI use case, and all inherited responsibilities.
	At a glance sidebar	Shows the following information: Last Modified: The date on which the asset was last edited. If the asset was never edited, the creation date is shown. Owner: The user assigned the Owner resource role for the asset, as specified when registering a new AI agent, AI model, or AI use case. To view the other responsibilities for the asset, click Explore Other Roles. Tags: Any tags that have been applied to the asset. To add or remove tags, click in the field below the header, and then click an existing tag or enter a new one.
	Task sidebar	Shows any tasks related to the asset that are assigned to you.
	Show Empty Optional Values toggle	If the Show Empty Optional Values option is switched off, all attribute types and relation types that don't have a value are hidden. If you want to add values in empty characteristics fields, ensure that the Show Empty Optional Values option is switched on, and then click in an empty field to enter a value.
	Lifecycle tracker	The Lifecycle tracker allows you to: Monitor the evolution of your AI models and AI use cases. View the assessment history for the AI model or AI use case asset, including the statuses of all assessments. Start an assessment that hasn't yet been started. Add activities, such as a new assessment of a specific type, decision records and decision gates, and sign-off activities. Move the AI model or AI use case to the next lifecycle stage.