I’ve been reading about autonomous AI teams—where you set up multiple agents that can coordinate end-to-end processes without constant human oversight. On paper, that solves a lot of our workflow problems. In practice, I’m trying to figure out whether this is actually cheaper to run and maintain than our current n8n self-hosted setup.
What I’m struggling with is the total cost picture. When you’re coordinating multiple AI agents across different departments, there’s infrastructure cost, there’s the coordination layer itself, there’s governance to make sure agents are doing what they’re supposed to, there’s monitoring to catch when something goes wrong.
We’ve got maybe twelve core workflows that run across sales, operations, and finance. Some of them already require human intervention at certain decision points. The idea of having AI teams handle more of that autonomously is appealing, but I need to understand: at what scale does orchestrating multiple autonomous agents actually become cheaper than good old reliable self-hosted workflows?
Is this something that makes sense for organizations our size, or is this really only economical at much larger scale?