Multi-Agent Orchestration
Coordinating multiple specialised agents into one governed workflow with routing, retries, and oversight.
What is Multi-Agent Orchestration?
Multi-agent orchestration is what enterprise AI looks like past the single-chatbot phase: retrieval, reasoning, validation, and action are different agents, run as a DAG with per-node model routing and explicit approval points. See the AI Agent Orchestration pillar and VDF AI Networks.
Why it matters for on-premise & regulated AI
Every additional agent in a workflow adds an interface where data can leak and a decision that must be auditable. Orchestrating multi-agent systems on-premises keeps inter-agent messages, shared memory, and tool calls inside one governed boundary, with a single execution trace across the whole network. This is the difference between demonstrating a workflow to a regulator and asking them to trust several vendors’ dashboards.
Read the full guide: Multi-Agent Orchestration — in-depth article →
Related terms
Putting Multi-Agent Orchestration to work?
VDF AI runs governed AI agents on your own infrastructure — on-premises, sovereign cloud, or air-gapped. Book a working session to map the architecture.
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