Unlocking Synergies by Combining Concur Travel & Expense with SAP Business Al

Objective

After completing this lesson, you will be able to combine Concur Travel & Expense with SAP Business AI to maximize the value of the integrated solutions.

SAP Concur and AI Solutions

The recent wave of advances in generative AI (GenAI) has stoked enthusiasm, raised debate, and sparked bold thinking about the power of this revolutionary technology to reshape our world. SAP Concur is pairing these GenAI breakthroughs with our unrivaled access to travel and expense (T&E) data and long track record working with AI to create enhanced, personalized experiences that no other T&E company can provide.

AI is essential to achieving our vision of a world where travel and expenses practically manage themselves.

Learn more about how AI supercharges all SAP Concur solutions in the next video.

Note

This video mentions solutions like Concur Invoice which aren't covered in this learning journey. For more information on these solutions, please visit our website.

Let's summarize what you've learned:

  • SAP Concur integrates advanced AI, including generative AI and machine learning, to revolutionize travel and expense management, aiming to create systems where travel and expenses manage themselves.
  • AI-powered features such as ExpenseIt for automated receipt data capture and categorization, Intelligent Audit for enhanced compliance and fraud detection, Verify for accurate expense reporting, and Concur Invoice and Concur Request for streamlined invoice and spend request processes.
  • AI solutions not only boost efficiency by reducing manual effort but also provide deeper insights, enhancing decision-making and ensuring policy compliance across organizations.
  • New features like Request Assistant use generative AI to provide pretrip budget estimates, simplifying the process for business travelers by predicting costs based on travel details, and AI flight recommendations offer personalized, policy-compliant flight options based on user preferences and booking patterns.

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