If a data quality issue is triggered when you set the AI use case status to Approved, you should explore what the stopgaps are in the AI architecture to see if they can be resolved or if alternative AI architecture is needed.
Go to the AI use case's content area > Architecture Scope page. The Risk Level and Approval Analysis report visualizes a network diagram of the AI portfolio for the selected use case. The diagram shows the AI use case 
on the left pointing to the AI features 
. The AI features are connected to the AI models 
and AI technologies 
. Click the 
3-dots button > Show Legend to understand the symbols and color coding of the AI architecture elements.
- Review the dependencies in the AI use case. Find unused AI technologies and consider whether they are relevant to the AI portfolio.
- Understand where AI architecture has not been approved. The AI use case should not be approved if any of its AI features, AI models or AI technologies are not approved. Point to the exclamation mark symbol to see a tooltip regarding conflicting approval statuses.
- Look for issues where the risk level is not aligned between the AI use case and its AI features. The AI use case should not have a risk level value that is lower than the risk level of its AI features. Use the legend to understanding the color-coding for such conflicts.