Artiplane · enterprise AI platform

Orchestrator vs agent: who does what

An agent executes a step. A Orchestrator carries a role, its limits and its accountability.

Orchestrator

2026-09-06 · 6 min read

Key takeaways

  • Agents are typed sequences of steps, not chat prompts.
  • A Orchestrator coordinates agents across several systems.
  • Human approval is a step, drawn and colored like the others.
How an enterprise RAG answer is built

ERP, PLM, CRM and documents keep provenance and version.

Typed steps

Each agent step declares its kind: an API call to a system service, an AI reasoning step with its model, or a human approval.

That is what makes an agent reviewable: you can read what it will touch before you let it run.

The worker as an alter ego

A Orchestrator maps to a business role — buyer, planner, pricing manager — and holds the agents, workflows and authority of that role.

It can propose an activity list for its agents and for people, but it never approves its own proposal.

Technology, not systems

An agent often spans several systems, so it is classified by the technology it was built on: Claude, OpenAI, Gemini, n8n, SAP BTP or native.

Provenance stays visible, especially for agents imported from market LLMs.

FAQ

Frequently asked questions

Why does “Typed steps” matter?

Each agent step declares its kind: an API call to a system service, an AI reasoning step with its model, or a human approval. That is what makes an agent reviewable: you can read what it will touch before you let it run.

How does “The worker as an alter ego” work?

A Orchestrator maps to a business role — buyer, planner, pricing manager — and holds the agents, workflows and authority of that role. It can propose an activity list for its agents and for people, but it never approves its own proposal.

What should a team know about “Technology, not systems”?

An agent often spans several systems, so it is classified by the technology it was built on: Claude, OpenAI, Gemini, n8n, SAP BTP or native. Provenance stays visible, especially for agents imported from market LLMs.

Continue with

  • Enterprise RAG vs fine-tuning: which one should a company choose?

    Read the article
  • Enterprise RAG evaluation: a 10-point checklist before production

    Read the article
  • AI in fashion retail: 7 processes to transform before adding a chatbot

    Read the article