Worldview · Apr 2026
Orchestrating AI Agents Across Departments
What changes when agents have to hand work to each other, not just to a person.
A single agent in a single team is a tool. Two agents handing work across a department line is an operating model — and most of the failure shows up in the handoff, not in the model.
Context gets dropped. Authority is assumed. When something goes wrong, nobody can say which agent acted, under whose sponsor, with which version of the prompt. That is not an intelligence problem. It is an identity and lineage problem.
What to demand before you connect them
- Each agent has a named owner and a named sponsor — not a shared inbox.
- Handoffs are explicit: what is transferred, what is withheld, who can reverse it.
- A verifier sits outside the agent. The worker does not grade its own work.
If you cannot describe the path a task took from intake to action, you do not have a multi-agent system. You have a pile of automations that will be expensive to unwind.