AI and SAP: Often in talks, rarely in use

Whitepaper on the use of AI in Switzerland
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Case study

Case study

The adoption of AI in the SAP environment is progressing more slowly in Switzerland than is often assumed. This is not due to a lack of interest, but because key prerequisites are missing. In many cases, the system landscape, data quality and licensing models are holding back the adoption of AI. At the same time, SAP is clearly moving towards cloud and platform models, which also serve as the foundation for the use of SAP AI.

This whitepaper outlines which options are realistic – and explains why, in the SAP context, AI is less a matter of tools and more a matter of infrastructure.

What you will learn

What you will learn

  • What prerequisites for artificial intelligence are still lacking in many Swiss companies
  • What misconceptions are preventing the profitable use of AI in many places
  • What structural factors often cause the introduction of AI to fail
  • What SAP Business AI specifically entails
  • How to get started with AI and what concrete first steps might look like
  • Why AI initiatives fail in practice – and what successful companies do differently
  • Which questions should be clarified before introducing AI and what context Swiss companies should bear in mind

Contact us

If you’d like to find out more about AI in the context of SAP, I’d be happy to help.

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