This lesson develops controlled execution of Industry Use Cases, Business Value, and Prioritization. The work is grounded in a customer-facing solution team translating business challenges into credible SAP Business AI opportunities, architecture choices, and value narratives and contributes directly to credible Business AI positioning.
Using the scenario, the instructor demonstrates industry scenarios, value drivers, use-case qualification, benefit hypotheses and highlights object relationships, determination behavior, integration effects, and approval evidence. The demonstration deliberately introduces the exception where a high-visibility use case lacks the data quality needed to support its promised outcome.
Complete a controlled activity covering industry scenarios, value drivers, use-case qualification, benefit hypotheses and preserve the result in AI use-case value and prioritization workbook.
Start at the earliest point where expected behavior differs from the observed result. Review process sequence, relevant data, configuration, authorization, integration, and timing as separate hypotheses. Treat “a high-visibility use case lacks the data quality needed to support its promised outcome” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.
Learners can apply Industry Use Cases, Business Value, and Prioritization, explain the resulting SAP behavior, and defend the outcome through AI use-case value and prioritization workbook.