---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Lifecycle tasks

# AI asset lifecycle tasks {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
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.