6 Requirements for Agentic AI-Ready Systems

Agentic AI puts new demands on enterprise data architecture. As agents chain decisions across systems, weaknesses in the underlying infrastructure can become amplified, making it difficult to deliver accurate, explainable results in production.

This ebook explores why agentic AI breaks traditional architectures and what a contextual data layer is and replaces. It outlines six architectural requirements for supporting agentic AI in production and shows how they map to the Arango Contextual Data Platform. Through case studies and additional use cases, you’ll see these requirements in practice and learn why common enterprise AI architectures can hit a ceiling as AI systems scale.