Technology Blogs by SAP
Learn how to extend and personalize SAP applications. Follow the SAP technology blog for insights into SAP BTP, ABAP, SAP Analytics Cloud, SAP HANA, and more.
Showing results for 
Search instead for 
Did you mean: 
Did you know that the boosters for Business Entity Recognition, Document Information Extraction and Service Ticket Intelligence are now available on the SAP Cloud Platform cockpit in the productive environment? Boosters automate the cockpit tasks of creating subaccount, service instance and the service key to access the services for productive users with global accounts. They can really save you time when onboarding to the SAP AI Business Services.

To show you exactly what boosters do and how you can trigger them, let me give you some more information about boosters followed by a step by step guide on how to trigger the booster for Document Information Extraction. However, the boosters for all three services available work the same way.

Why are boosters useful?

The manual step by step set-up of the relevant cockpit tasks (creating subaccount, service instance & service key) in the productive environment can take up to 15 minutes. Using the boosters reduces this time to 20-30 seconds by automating those tasks!

Moreover, the Document Information Extraction booster also automates the subscription and role assignment for the UI application. With this booster, you can also subscribe to and access the Document Information Extraction UI, which is why the execution of this booster takes a few seconds longer.

What are the prerequisites for using boosters?

A global account on SAP Cloud Platform and the entitlements to the service are required in order to access the boosters. Also, you need to be on the productive environment.

See details on available providers and regions for Document Information Extraction in the Service Plan tab of the Discovery Center.


Let’s now go through the process of using a booster step by step:


Step 1: Accessing & Launching Booster

Access the SAP Cloud Platform cockpit. Choose Boosters in the navigation menu on the left.

You can now see the boosters for Document Information Extraction, Business Entity Recognition, and Service Ticket Intelligence. Alternatively, search for the booster via the search field.

You can launch the boosters by clicking Start in the respective tile on the overview page. Alternatively, you can click on the tile to see an overview of the tasks automated by the booster, more information about the components and the additional resources. You can then also trigger the boosters from there by clicking Start.


Step 2: Running Booster to Create Service Key

The process will start by checking if you meet all the prerequisites required for the booster. As mentioned before, make sure to visit the Discovery Center to see more information on the prerequisites (available regions and providers).

Click Next

Next, the subaccount for your new development project will be created. The default values don’t have to be changed, but it is advisable to customize your Subaccount Name. This is especially relevant if you plan on having multiple subaccounts. If you want to access the service key and the service instances that are created by the booster at a later time, you can find the subaccount to access them much easier by looking for the name.

Click Next

Next, the users will be added automatically. However, you can manually add additional users who will also work on your development project and assign them to relevant roles. They will then also be able to access the service.

Click Next

Next, you will have the opportunity, to review the set-up process. You can click on Previous to go back and edit your input, or you can select Finish to complete the process and run the booster.


Step 3: Progress & Success

The booster will start running, and a dialog box showing the progress will appear. Cockpit tasks of creating subaccount and creating the service instance are automated. This will take approximately 20 to 30 seconds.

As mentioned previously, for Document Information Extraction, the booster will also automate the subscription and role collection assignment for the UI application, as indicated by the red box in the screenshot below.

Finally, the service key will be created and another dialog box confirming the successful execution of the booster will appear. You can now download the service key via the provided link. You need the service key to get the token to access the respective service.

For Service Ticket Intelligence and Business Entity recognition, a tutorial explaining how to get this token is provided as well.


Good to know:

If you want to access the service key at a later time again, just go to Subaccounts in the navigation menu, click on the subaccount you created for the respective service, click on Service Instances in the navigation menu. There you can see the service instance that has been created and you can access the service key from there. You don’t need to trigger the booster every time to download the service key.

For Document information Extraction, you can go to the service subaccount, click on Subscriptions in the navigation menu to find the Document Information Extraction UI tile. Click on Go to Application to access the service application.

There you have it:

A step by step guide on how you can save time by triggering the boosters for Business Entity Recognition, Document Information Extraction and Service Ticket Intelligence, which are now available on production.


Visit the links below to access the SAP Cloud Platform Cockpit and to find related topics:


SAP Cloud Platform Cockpit:

SAP Cloud Platform Help Portal documentation on boosters:

SAP Discovery Center:

Document Information Extraction Tutorial Mission: Use Machine Learning to Process Business Documents:

Service Ticket Intelligence Tutorial Mission: Use Machine Learning to Process Service Requests:

Business Entity Recognition Tutorial Group: Use Pre-trained Machine Learning Models to Process Unstructured Text:

Business Entity Recognition Tutorial Group: Use Custom Machine Learning Models to process unstructured text :