Lifecycle management is a feature that helps you manage an asset throughout its entire lifecycle, from creation to archive. It allows you to better monitor an asset's development, implementation, and usage, helping you to ensure compliance and safety. One of the main components of the feature is the Lifecycle tracker.
The Lifecycle management feature is currently available for the following asset types:
- AI Agent
- AI Base Model
- AI Endpoint
- AI Model Deployment
- AI Model Version
- AI Monitor
- AI Use Case
Tip If the feature is available for an asset type, the Activate Lifecycle tracker option is shown in the Lifecycle tab of the asset type's global assignment.
For guidance on ensuring that Lifecycle management is enabled for the AI Governance asset types, go to Set up AI Governance.
F or complete information on the Lifecycle management feature, including how to configure lifecycle stages and activities, and important details on when the Lifecycle management for an asset must be manually started, be sure to check out the following topics: