Working with AI asset records

An asset record consolidates the state of a single AI asset and the actions you can take on it, so you can understand the asset's situation and respond from one page.

Overview of working with AI asset records

AI stewards typically open an asset record after a portfolio view, recommendation, or task points them to a specific AI asset. The record brings together everything happening with that asset, including its scores, lifecycle position, connected assets, and pending work. It also provides the actions to respond to what needs attention, without piecing data together from monitoring dashboards, task queues, and inventory lists.

• Reviewing AI asset status

  Check the governance posture, pending work, key details, and value delivered by an asset at a glance from the Overview tab, and act on what needs attention without leaving the record.

• Managing AI asset details

  Keep an asset's metadata, use and purpose values, related assets, and supporting documents accurate over time so risk classifications, audit responses, and ownership stay current.

• Managing your AI asset lifecycle

  Advance an asset through its Onboard, Maintain, and Retire stages, work through the playbook tasks generated for each stage, and initiate change or offboarding requests from the Maintain stage.

• Planning AI work from Inventory in AI Control Tower

  Track the strategic priorities, goals, targets, demands, and projects tied to an asset across the Strategize, Prioritize, and Execute sub-tabs on the Plan tab.

• Governing AI assets

  Review an asset's regulatory risk classification, compliance score against frameworks like the EU AI Act and NIST AI RMF, residual and inherent risk posture, and the AI cases, controls, and policy exceptions associated with it.

• Monitoring an AI system

  Investigate an asset's quality and safety performance in detail, including which metrics are pulling scores up or down, how performance is trending over time, and which sessions need attention.

• Viewing value metrics for an AI system

  Quantify the productivity gains, AI cost, net AI returns, and engagement metrics an asset has delivered over a date range you select.

• Viewing templates associated with an AI system

  View the value, quality, and safety templates mapped to an asset, and map a different template when the current one no longer reflects how productivity should be calculated.

• Governing AI asset security

  Review your asset's security score, access issues, and security events, and see how it relates to other AI agents in the AI agent map.

• Reviewing AI asset status
  Check the governance posture, pending work, key details, and value delivered by a specific AI asset, and act on what needs attention without leaving the record.
• Managing AI asset details
  Confirm what an AI asset is, who owns it, how it operates, and what other assets depend on it before approving a change, investigating a score, or responding to an audit question.
• Managing your AI asset lifecycle
  Get a structured view of an AI asset's progression through its operational stages, from initial onboarding to retirement.
• Planning AI work from Inventory in AI Control Tower
  View all planning data for a specific AI system in one location. The Plan tab automatically filters goals, intake items, and delivery records to show only those linked to your selected AI system across Strategize, Prioritize, and Execute workflows.
• Governing AI asset risk and compliance
  Get a consolidated view of your AI asset's regulatory risk classification, compliance posture, control effectiveness metrics, and governance artifacts from the Risk & compliance tab.
• Monitoring an AI system
  Assess the quality and safety performance of a specific AI system by reviewing its scores, metric breakdowns, trends, and evaluated sessions.
• Viewing value metrics for an AI system
  View productivity gains, net returns, usage volume, and cost metrics so you can assess the business impact of a specific AI system over time.
• Viewing templates associated with an AI system
  Learn how value is being measured for an AI system by viewing the value templates mapped to the asset and the productivity calculation each template uses.
• Governing AI asset security
  Get a snapshot of your AI asset's security posture and visualize how your asset relates to other agentic assets in your enterprise in the AI agent map.