Reference Architectures & Patterns
Reusable architecture patterns for agent orchestration, tool safety boundaries, and production monitoring in enterprise AI.
A pattern library developed to align architecture teams on deployable, repeatable AI solution structures.
Purpose
When multiple delivery teams are building AI systems independently, architectural decisions drift. Teams make different choices about agent orchestration, tool safety, monitoring, and integration — not because one approach is better, but because there's no shared reference.
Coverage
Multi-agent orchestration patterns — hub-and-spoke, peer-to-peer, hierarchical delegation.
Tool safety boundaries and sandboxing models for safe agent-tool interaction.
Observability architectures for AI systems — metrics, tracing, and anomaly detection.
Integration patterns for agentic AI in enterprise environments, including zero-trust deployment models.
Designed for use by architecture teams across delivery programmes — reducing interpretation overhead and ensuring that architectural decisions are consistent across the portfolio.