A single AI can handle the task.
It can't run the workflow.
Enterprise processes don't break on individual tasks — they break between them. A contract needs legal review, finance sign-off, and a CRM update before it closes. A supply chain exception needs inventory checked, a PO adjusted, and a carrier rebooked before anyone's inbox opens. Single-model AI hits a wall the moment a workflow crosses a system boundary or needs a human in the loop. It doesn't track context across steps, can't wait for approvals, and won't verify its own output before moving on. That gap is where your operations slow down — and where multi-agent systems earn their keep.