ENTERPRISE AI ARCHITECTURE

Enterprise AI Architecture

Cortex works across the full stack, not just the model layer — this is the reference architecture behind every deployment.

Ten layers, one architecture

A diagram is only useful if every layer is actually owned by someone. Here's what we design for.

01

User / Business Workflow Layer

Where AI meets an actual task — a request, an approval, a decision.

02

Agent / Orchestration Layer

Coordinates multi-step tasks across tools, models, and workflows.

03

Model Gateway

A controlled entry point that routes requests across model providers.

04

Model Providers / Private Models

Public APIs, private deployments, or both — selected per workload.

05

Enterprise Data

The documents, records, and systems an AI system is allowed to see.

06

Identity & Access

Who — or which agent — is allowed to do what, and under which role.

07

Governance & Evaluation

Policy, approval gates, and ongoing evaluation of output quality.

08

Observability

Logs, metrics, and traces across every model and agent call.

09

Infrastructure

Compute, storage, and orchestration behind every layer above.

10

Security / Secrets / Network Boundaries

The perimeter controls that define what can reach what.

See it applied

See how this architecture applies to your environment.

We'll walk through which layers already exist in your stack and which still need to be built.

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