--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Lifecycle tasks # AI asset lifecycle tasks {#ariaid-title1} Release version: Australia Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of AI asset lifecycle tasks AI asset lifecycle tasks enable ServiceNow customers to manage AI assets through structured governance stages by completing essential reviews, assessments, and approvals. These tasks represent discrete units of governance work generated by AI asset lifecycle playbooks, requiring human judgment for activities such as risk evaluation, regulatory compliance confirmation, and information gathering. This structured approach ensures consistent governance as AI assets progress from onboarding to active use and eventual retirement. Show full answer Show less ## How lifecycle tasks are generated Lifecycle tasks are created by playbooks executed during the **Onboard** and **Retire** stages of an AI asset's lifecycle. Each playbook consists of specific activities, and for each activity, corresponding lifecycle tasks are generated and assigned to relevant roles such as AI stewards or asset owners. For example, during onboarding, tasks may include impact assessments, legal and security collaborations, and architecture reviews. Completion of all required tasks in a current activity is mandatory before the asset can progress to the next activity or lifecycle stage. ## Lifecycle stages * **Onboard:** Introduction of the AI asset into the organization. The onboarding playbook guides tasks through activities like Assess, Build and test, and Deploy. * **Maintain:** The asset is actively used and maintained. This stage tracks change requests rather than generating lifecycle tasks, since no playbook runs here. * **Retire:** The asset is decommissioned. A dedicated retire playbook generates tasks required to properly retire the asset. ## Where lifecycle tasks appear Lifecycle tasks are visible in multiple locations within AI Control Tower, allowing users to efficiently track and complete governance work: * **Home page:** Top action items widget displays tasks assigned to the user. * **Activity Center:** Lifecycle tasks appear under the Lifecycle tasks sub-tab in views such as Team, Assigned to you, and Unassigned, depending on task assignment. * **Lifecycle tab on asset records:** Displays lifecycle tasks in the playbook visualization, showing how each task contributes to the asset's overall lifecycle progression. Advance managed AI assets through controlled stages of governance by completing the reviews, assessments, and approvals that AI asset lifecycle playbooks require. A lifecycle task is a unit of governance work that an AI asset lifecycle playbook generates and assigns to an AI steward, asset owner, or other reviewer. Each lifecycle task corresponds to a step in a playbook activity that requires human judgment, such as evaluating an asset's risk, confirming its regulatory conformity, or collecting the information a review requires. AI Control Tower uses lifecycle tasks to help enforce consistent governance as a managed AI asset moves from onboarding through active use to retirement. ## How lifecycle tasks are generated {#ac-ai-asset-lifecycle-tasks__origin} Lifecycle tasks are generated by the playbooks that run during the Onboard and Retire stages. Each playbook advances the asset through its own set of named activities and generates the tasks required to complete each one. For example, the Onboarding playbook's Assess activity might generate an impact assessment task, a legal collaboration task, a security clearance collaboration task, and an architecture review task. AI Control Tower routes each task to the role responsible for completing it, based on the playbook's logic. The asset can't advance to the next activity or lifecycle stage until all required tasks for the current activity are completed. ## Lifecycle stages {#ac-ai-asset-lifecycle-tasks__stages} Every managed AI asset progresses through three lifecycle stages, shown as a horizontal progress indicator on the asset's Lifecycle tab. AI Control Tower generates lifecycle tasks in the two stages that run a playbook: Onboard : The asset is introduced into the organization. The Onboarding playbook advances the asset through its own activities, including Assess, Build and test, and Deploy, and generates a lifecycle task for each activity it requires. Maintain : The asset is in active, ongoing use. This stage becomes available after onboarding is complete. It does not run a playbook, so it tracks change requests instead of lifecycle tasks. Retire : The asset is decommissioned and removed from active use. This stage becomes available after onboarding is complete and runs its own playbook to generate the lifecycle tasks required to retire the asset. ## Where lifecycle tasks appear {#ac-ai-asset-lifecycle-tasks__where-they-appear} Lifecycle tasks appear in three places in AI Control Tower: The Top action items widget on the Home page : Lifecycle tasks assigned to you appear on the Assigned to you tab. Lifecycle tasks with no assignee appear on the Unassigned tab. Activity Center : Lifecycle tasks appear on the Lifecycle tasks sub-tab of the Team, Assigned to you, and Unassigned views, depending on assignment. The Lifecycle tab on an asset record : Lifecycle tasks for a specific asset appear in the playbook visualization on the Lifecycle tab, where you can see how each task fits into the asset's overall lifecycle progression.