How AI-native systems are built

The article explains an AI-native enterprise architecture built in layers: governance, orchestration, retrieval, and checkpointing.

A deterministic governance shield handles policy, identity, and access control to keep AI workflows secure and compliant.

An orchestration layer routes tasks and models, while RAG grounds outputs in enterprise data to reduce hallucinations.

Checkpointing preserves state and audit trails, helping businesses use AI in core workflows with better control over risk and cost.