{"revision":"c10276e953456835cdbb1f3a60d58ae1980be353","document":{"id":22855,"path":"intelligent-experiences/ai-control-tower/view-ai-asset-details.md","title":"View AI asset record details","bundle":null,"doc_type":null,"release":"australia","body":"\n# View AI asset record details\n\nView the AI asset governance details to track the lifecycle status, phase, and the install status.\n\n## Before you begin\n\nRole required: AI steward \\[sn\\_ai\\_governance.ai\\_steward\\]\n\n## Procedure\n\n1. Navigate to **Workspaces** > **AI Control Tower**.\n\n2. From the AI Control Tower, open the AI assets view.\n\n3. From the navigation menu of the AI assets view, under AI asset inventory, select an AI asset.\n\n The AI asset details page is displayed.\n\n4. On the page, review the AI asset details.\n\n\n
\n\nField\n\n\n\nDescription\n\n
\n\n**Asset tag**\n\n\n\nThe asset tag contains the unique ID assigned to every asset. Each asset tag consists of a type prefix followed by a 20-digit number.\n\n
\n\n**Name**\n\n\n\nThe name of the AI asset. Identifies the asset in lists, searches, and records.\n\n
\n\n**Description**\n\n\n\nA brief summary of what the AI asset does. Explains the asset's purpose without opening the full record.\n\n
\n\n**Managed status**\n\n\n\nIndicates whether the asset is actively governed. Values typically include Managed and Unmanaged.\n\n
\n\n**Version**\n\n\n\nThe Version number of the asset.\n\n
\n\n**Asset type**\n\n\n\nCategorizes the AI asset by its type.- generative AI\n- agentic AI\n- Classical AI\n- AI model\n- AI system\n- AI prompts\n- AI datasets\n- MCP servers\n\n\n
\n\n**Provider**\n\n\n\nThe vendor or team that built or supplies the AI asset.\n\n
\n\n**Vendor**\n\n\n\nWho has sold the Asset\n\n
\n\n**Department**\n\n\n\nDepartment where the asset is allocated\n\n
\n\n**Managed by**\n\n\n\nManaged by the user who owns the asset\n\n
\n\n**License details**\n\n\n\nLicense details of the asset\n\n
\n\n**Supported locations**\n\n\n\nThe geographic regions or environments where the asset is approved to operate, relevant for data residency and compliance purposes.\n\n
\n\n**Source system**\n\n\n\nThe system from which the asset record originated, such as an import script or an external discovery tool.\n\n
\n\n**State**\n\n\n\nThe operational state of the asset.- Deployed\n- Retired\n- Development\n- Unknown\n- N/A\n\n\n
\n\n**Lifecycle phase**\n\n\n\nThe current phase of the asset- New\n- Assess\n- Build and test\n- Deploy\n- Offboarding\n\n\n
\n\n**Lifecycle status**\n\n\n\nThe current status within the lifecycle phase of the asset.- In Review\n- Approved\n- Rejected\n- Deployed\n- AI steward review\n- Approved for development\n- Ready for deployment\n- Approved for deployment\n- Canceled\n\n\n
\n\n**Risk classification**\n\n\n\nRisk classification of the asset\n\n
\n\n**Created**\n\n\n\nCreation date\n\n
\n\n**Updated**\n\n\n\nUpdated date\n\n
\n\n**Documentation**\n\n\n\nA free-text or rich-text field for attaching additional reference material, links, or notes about the asset.\n\n
\n\n**Aggregated risk score**\n\n\n\nInherent rating — The risk level of the asset before any controls are applied. Reflects the raw risk based on the asset's nature and use.\n\n Control effectiveness — A measure of how well the existing controls mitigate the identified risks.\n\n Residual rating — The remaining risk level after controls are applied. A lower residual rating indicates effective risk mitigation.\n\n
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