Reference Architecture

Enterprise AI Architecture

A complete reference architecture for enterprise-grade multi-agent systems. Every component has a defined role, security boundary, and integration point.

Enterprise Systems
CRM
ERP
Knowledge Base
Service Desk
Internal APIs
Secure Integration Layer
Agent Layer
AI Analyst Data Processing
AI Architect System Design
AI Validator Output QA
AI Executor Action Layer
Verification Pipeline
Output
Verification Agent
Fact-Checker
Confidence Score
Security & Governance Layer
Security & Governance
Access Control
Audit Logs
Human Review
Monitoring

Enterprise Integration

AI agents gain access to live enterprise data by connecting directly to CRM, ERP, knowledge bases, and service systems. Every integration operates through a defined security boundary, ensuring agents act on real business context without exposing sensitive data beyond authorized scope.

Agent Coordination

Specialized agents are orchestrated by a coordination layer that manages task routing, state, and handoffs. An AI Analyst processes inputs, an AI Architect plans execution, an AI Validator checks outputs, and an AI Executor acts — each with a clearly defined role and escalation path.

Security & Governance

Every agent action passes through access control enforcement, audit logging, and human review workflows. The governance layer provides full visibility into AI behavior across the enterprise, enabling compliance reporting, anomaly detection, and intervention at any point in the pipeline.