##  AI Potential and Usage of Applications
After assessing AI potential at the business capability level, evaluate AI potential at the application level to gain a more detailed understanding of where to apply AI technologies within your organization. This assessment can inform decisions about where to invest in AI technologies, which applications to prioritize for AI integration, and how to align AI adoption with business strategy.
### Configure an Application Landscape Report
To evaluate AI potential and usage in applications, use the application landscape report and configure it as follows:
  1. Navigate to the report settings by clicking Settings in the upper-right corner, then do the following:
    1. In the Cluster By list, select Business Capabilities.
    2. Under Multiple Properties, set AI Potential as an additional property (for example, left property).
  2. Apply the AI Usage view to the report by selecting it in the upper-left corner.
  3. Optional: Save the report with a dedicated name, such as “Application Landscape - AI Assessment.“


As a best practice, you can first focus on applications related to business capabilities with the highest AI potential to determine which specific applications can best support these capabilities. In the left-side pane, apply a filter to only show business capabilities with the highest AI potential (marked as Process Transformation).
![](https://help.sap.com/doc/72d375467c1e4dcb872dfa2998b6328d/CLOUD/en-US/loio85e8061299e440ab81352214ecfc3c3d_LowRes.png)
Application Landscape Report Clustered by Business Capabilities: AI Potential of Applications
### Assess AI Potential
To get started, evaluate the AI potential on applications using the corresponding additional property.
  * Applications with medium or high AI potential can significantly benefit from AI technologies. These benefits include improved performance, enhanced functionality, or new capabilities.
  * Applications with low AI potential are unlikely to benefit significantly from AI technologies. For these applications, it may be more cost-effective to focus on other improvement initiatives rather than AI integration.


### Cross-Reference AI Potential with Usage
After the initial assessment, analyze how AI is currently employed in applications in relation to its potential. This will help you identify which applications have the most to gain from AI technologies. You can proceed as follows:
  1. Identify applications with high potential and active usage: These applications are effectively leveraging AI and delivering significant value. They should be prioritized for further investment and development.
  2. Identify applications with high potential and unknown or no usage: These applications represent opportunities for improvement. Investigate why AI is not being used in these applications and consider strategies to increase AI adoption.
  3. Identify applications with low potential and active usage: These applications may indicate that resources are being wasted on AI technologies that aren't delivering proportional value. Consider redirecting these resources to applications with higher AI potential.
  4. Identify applications with unknown AI usage: Applications with unknown AI usage, regardless of their AI potential, represent a potential risk. These could be shadow AI applications that need to be brought under governance.


By analyzing the application landscape report in this way, you can gain insights into the relationship between AI potential and AI usage in your organization. This analysis can inform your AI governance and adoption strategies, helping you focus your efforts where they deliver the most value.
For example, the applications “Call Center Management“ and “Call Center Management 2.0“ in the image above are classified as having high AI potential and active usage. These applications are effectively using AI and delivering significant value, so they can be prioritized for further investment.
