Orchestration
Orchestration
System Integration & Workflow β the core engine that combines individual technologies into intelligent workflows.
Role of this domain
Orchestration is the core engine of the five-domain framework. It connects the compute and models that infrastructure provides into workflows that solve real business problems.
flowchart TD
A["π Infrastructure<br/>Models & Data"] --> B["βοΈ Orchestration<br/>Core Engine"]
C["π‘ Governance<br/>Control & Audit"] --> B
B --> D["π€ Interface<br/>User touchpoint"]
B --> E["π Business Impact<br/>Value realization"]
style B fill:#7C3AED,stroke:#6D28D9,color:#fff
style A fill:#2563EB,stroke:#1D4ED8,color:#fff
style C fill:#0891B2,stroke:#0E7490,color:#fff
style D fill:#16A34A,stroke:#15803D,color:#fff
style E fill:#EA580C,stroke:#C2410C,color:#fff
Core components
| Component | Description |
|---|---|
| Prompt & context design | Advanced prompting and RAG-based knowledge connection |
| RAG 2.0 | Verification-focused RAG β GraphRAG, Agentic RAG, CRAG |
| Agent interfaces | Integrating external tools (APIs), multi-agent collaboration |
| State management | Maintaining continuity of reasoning across agents |
| Workflow automation | AI executing complex business logic step by step |
Core strategy: the agentic environment
The ability to build an agentic environment β controlling systems with natural language, as in “vibe coding” β is where this domain is won or lost.
Health check questions
“Is our orchestration layer mature enough for agents to collaborate with each other?”
- Does the RAG pipeline’s retrieval accuracy (Recall@K) meet its target?
- Do agents remember the results of prior steps and move logically to the next one?
- Does the agent workflow fall back gracefully when an external API fails?
- Can complex business logic be executed from natural-language instructions alone?