This lesson develops controlled execution of Prompt Engineering, Grounding, and Enterprise Context. The work is grounded in an SAP development team building a controlled generative AI assistant that uses enterprise context without exposing sensitive data or unreliable responses and contributes directly to responsible generative AI applications.
Using the scenario, the instructor demonstrates prompt patterns, retrieval augmented generation, vectorized enterprise context, response constraints and highlights object relationships, determination behavior, integration effects, and approval evidence. The demonstration deliberately introduces the exception where retrieved context is current but belongs to a user without permission to view it.
Complete a controlled activity covering prompt patterns, retrieval augmented generation, vectorized enterprise context, response constraints and preserve the result in prompt and grounding evaluation 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 “retrieved context is current but belongs to a user without permission to view it” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.
Learners can apply Prompt Engineering, Grounding, and Enterprise Context, explain the resulting SAP behavior, and defend the outcome through prompt and grounding evaluation workbook.