Connect AI to SAP in 2026: A Complete CData Guide

SAP integration with AI enables assistants and agents to access current enterprise data for functions such as financial analysis, supply chain monitoring, and customer support, rather than relying on exported or outdated records. The guide presents CData Connect AI as a managed Model Context Protocol platform that connects AI clients to SAP ECC, S/4HANA, HANA, SuccessFactors, and other enterprise sources through governed endpoints, preserving user identities and SAP permissions. It describes three deployment approaches: direct live access for time-sensitive operational queries, CDC or ETL replication into platforms such as Snowflake or Databricks for analytics and model training, and hybrid architectures combining both. Implementation involves defining data requirements, selecting appropriate SAP connectors and authentication methods, applying role-based access and PII masking, connecting AI clients, and monitoring audit logs and output quality. The proposed security model uses OAuth, SSO, RBAC, audit trails, and least-privilege policies, while recommended use cases include automating finance workflows, identifying supply chain exceptions, and retrieving order or delivery information during support interactions.

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