Paul Bryant • 7/13/2026

Compound AI Systems Are the Enterprise Architecture Shift Hiding in Plain Sight

This article argues that enterprise AI should move beyond model-centric thinking to compound AI systems, where the model is one component in a larger architecture. It highlights the need for components like identity, retrieval, routing, policy enforcement, verification, and observability to handle production requirements such as data governance, access control, compliance, and failure recovery. The piece contrasts demo patterns with production patterns, emphasizing that system design, not just model selection, is critical for scaling AI in business processes.

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#Enterprise Architecture #AI Governance #Production AI