Create offboarding requests for AI assets
Create an offboarding request to retire AI assets that are no longer needed.
Before you begin
Role required:
- AI asset owner (sn_ai_asset_mgmt.ai_asset_owner)
- AI steward (sn_ai_governance_ai_steward)
About this task
To retire a deployed AI asset, a user with the AI asset owner (sn_ai_asset_mgmt.ai_asset_owner) role can initiate the offboarding process by creating and submitting an offboarding request. After the request is submitted, a user with the AI steward (sn_ai_governance_ai_steward) role can review and approves the request. This approval triggers the offboarding workflow that assigns tasks to impacted asset owners and updates the Status of the AI asset record to Retired upon completion.
Note: We have automated the ServiceNow AI model to initiate the offboarding workflows when a deprecation date is present.
You can create offboarding requests for the following AI asset types:
- AI systems (classic, generative, and agentic)
- AI models
- Datasets
- MCP servers
Procedure
Navigate to Workspaces > AI Control Tower.
If you have the AI asset owner (sn_ai_asset_mgmt.ai_asset_owner) role, create an offboarding request.
- Initiate the request by using one of the following navigation options.
| Navigation option | Procedure |
|---|---|
| AI Control Tower Home view |
|
| Offboarding requests list |
|
| AI asset record |
Alternatively, navigate to Lifecycle > Deploy.
|
2. On the form, fill in the fields.
| Field | Description |
|---|---|
| Asset in review | Note: If you initiated the offboarding request from an AI asset record, this field populates automatically. |
| Due date | Date and time at which the request must be completed. |
| Justification | Justification for creating the request. |
3. Select **Save** and then select **Submit for review**.
4. In the Submit offboarding request dialog box, select **Submit request**.
The offboarding workflow is initiated. The **Impacted assets** and the**Offboarding workflow** tabs also appear.