Enterprise AI projects often fail due to hallucinations and incorrect API calls. A new metadata-first approach using AWS Bedrock AgentCore and SAP OData APIs enforces structure over creativity, ensuring reliable integration.

Instead of letting LLMs guess field names or ignore key constraints, this method introduces a Discovery -> Inspection -> Execution sequence. The agent first scans SAP’s service catalog, then parses XML $metadata, mapping EntitySets and Navigation Properties before executing any query.

This constraint-based design treats metadata as runtime documentation, reducing errors and boosting compliance. Experts say such structured agentic workflows are key for SAP integrations in production, especially where security and governance matter.

Organizations can now build intelligent interfaces that scale across S/4HANA and legacy ECC systems, provided they prioritize tool design over prompt engineering.