Document the AI models and AI features that the component provides

To create a new AI model or AI feature that the component provides, go to the component's content area > AI Context.

Create an AI model that the component provides. Go to the AI Models view and click New > Create AI Model for This Component. Define a unique name and basic attributes and click OK. Or click New > Move Existing AI Model to This Component to add an existing AI model to the component. Specify the attributes of the AI model in the data workbench:

• Status: This is an approval status and typically indicates the level of quality of the information about the AI model. Possible values are:
  • Draft: The AI model has only mandatory data defined.
  • Under Review: The AI model is documented and being reviewed. An AI model with this release status cannot be deleted.
  • Approved: The AI model has been approved by the responsible stakeholders. An AI model cannot be deleted when it has an approved release status. An AI model with this release status cannot be deleted.
  • Declined: The AI model has not been approved.
  • Retired: The AI model is no longer valid.
• Model Type: Specify the AI model used to recognize patterns, make predictions, or make decisions.
• Vendor: Specify the vendor that provides the AI model.

Create an AI feature that the component provides. Go to the AI Features view and click New > Create AI Feature for This Component. Define a unique name and basic attributes and click OK. Or click New > Move Existing AI Feature to This Component to add an existing AI feature to the component. Specify the attributes of the AI feature in the data workbench:

• Status: This is an approval status. The associated AI use case should only be set to Approved when the statuses of the associated AI features are approved.
  • Draft: The AI feature has only mandatory data defined.
  • Under Review: The AI feature is documented and being reviewed.
  • Approved: The AI feature has been approved by the responsible stakeholders.
  • Declined: The AI feature has not been approved.
  • Retired: The AI feature is no longer valid.
• AI Risk Level: Specify the level of the risk if the AI feature were enabled. The risk level of each AI feature will contribute to the overall risk level of the AI use case and whether it will be approved or not.
• Is Enabled: Specify whether the AI feature is enabled in the component that provides it.
• AI Use Case: Specify the AI use case that the AI feature belongs to. The use case describes the larger aim of the AI feature. This is typically done after AI use cases are already added to the repository.

  AI use case

  An AI use case describes the capabilities and technologies used to achieve a defined business goal in the enterprise using artificial intelligence. Examples include enabling a customer support chatbot and agentic approvals. When applying AI governance, the AI use case is the level typically used to drive approval of AI usage in the organization.

• Enabling AI Model: Specify the AI model that provides the AI feature.

  AI model

  An AI model is a program trained on data to recognize patterns, make predictions, or perform tasks autonomously without needing explicit human instructions for each decision. Typical AI models are Chat GPT, Claude, or Gemini. An AI model provides various AI technologies.

• Enabling AI Technologies: Specify the AI technologies that the AI feature provides.

  AI technology

  An AI technology is a technical tool or method used to perform a task to enable an AI feature. For example, the AI feature Natural Language Processing requires such technologies as Tokenization, Speech Tagging, Text Classification, and Machine Translation.

• Providing Application: Specify the application that the component supports in providing the AI feature.
• Providing Component: This is the name of the component you are currently defining.