AI Governance Extension to the Meta Model

Improve AI governance and adoption in your organization. Track and manage AI usage, evaluate risks, and assess AI potential.

Introduction

The AI governance extension to the meta model provides you with improved AI governance and adoption tools, allowing you to effectively track, manage, and categorize AI usage and risk. The extension enables you to adopt best practices for modeling AI in your workspace for both commercial off-the-shelf (COTS) and self-built software.

To learn how to implement AI governance and adoption practices in SAP LeanIX using the extension, see AI Governance and Adoption. In this step-by-step tutorial, you'll learn how to:

  • Collect initial data
  • Assess the potential of AI on business capabilities and applications
  • Evaluate the risks related to AI usage in applications
  • Standardize AI usage
  • Plan AI-related transformations

Activating the AI Governance Extension

Admins can activate the AI governance extension in the administration area. Follow these steps:

  1. In the administration area, select Optional Features & Early Access under Advanced Settings.
  2. In the AI Governance & Adoption section, click Activate, then confirm your action.
Activating the AI Governance Extension in the 'Optional Features & Early Access Section' of the Administration Area

Activating the AI Governance & Adoption Feature

Meta Model Additions Provided by the AI Governance Extension

With the AI governance extension, the following changes are applied to the meta model:

  • The AI Potential Assessment subsection is added to business capability fact sheets, with the AI Potential single-select attribute that allows you to assess how the organization can benefit from the current state of AI for this business capability.

    AI Potential Subsection on a Business Capability Fact Sheet

    AI Potential Assessment Subsection on the Business Capability Fact Sheet

  • The Governance section is added to application fact sheets, with the AI Governance and Adoption subsection that contains single-select attributes designed to capture data on AI usage, type, risk, and potential. Use this section to track and manage applications and systems that use AI, evaluate associated risks and benefits, and ensure that AI usage aligns with your business strategy.

    Governance Section on an Application Fact Sheet with Selected Attributes

    AI Governance and Adoption Subsection on the Application Fact Sheet

  • The Technology Assessment subsection is added to IT component fact sheets, featuring the AI Radar Classification field within that section. This enables you to assess selected technologies effectively and establish clear technology governance, and it facilitates the visualization of AI classification within your IT landscape through the Technology Radar report.

AI Radar Classification Field on the IT Component Fact Sheet

AI Radar Classification Field on the IT Component Fact Sheet

  • The LLM subtype is added to IT component fact sheets, which enables you to create dedicated fact sheets for LLMs.

    Creating an IT Component Fact Sheet of the LLM Subtype

    Creating an IT Component Fact Sheet of the LLM Subtype

Getting Insights through Reports

Once you have gathered the data, generate reports to gain insights into your application portfolio. This allows you to identify where new AI technologies are already in use and where there are opportunities for improvement and increased efficiency.

For example:

  • Using an application landscape report, you can easily identify which key business capabilities are at risk arising from AI usage or which business capabilities can leverage AI better. To do so, in the application landscape report clustered by business capabilities, you can apply AI Risk or AI Potential as a view. To learn how to use reports, see Using SAP LeanIX Reports.

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Tip

Apply the AI Available filter from the filter bar to display only those applications that use AI capabilities.

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Note

To avoid overwhelming users with too many view attributes and to keep the interface lean, many fields are hidden by default in the View drop-down menu in reports. In the meta model configuration, you can choose to include or exclude attributes based on your needs. To learn more, see Showing Fields in Filters and Views.

  • You can also use a business capability landscape report to get a consolidated view to identify and prioritize business capabilities with high potential for AI adoption.

    Using Business Capability Landscape Report to Identify AI Potential

    Using Business Capability Landscape Report to Identify AI Potential

  • With the IT component matrix report, you can assess which AI algorithms and large language models (LLMs) are supporting which applications. To do so, in the IT component matrix report settings, select Application for one of the axes and apply the necessary view for your analysis.

  • Using the technology radar report, you can gain insights into your AI governance and adoption status. From the radar report settings, choose AI Radar Classification for the sector category. To learn more about radar reports, see Radar Report.