I’m trying to understand the financial impact of scaling from a single AI-powered workflow to a system where multiple AI agents are working together on complex business processes.
The pitch is straightforward enough—autonomous AI teams handle end-to-end tasks without constant human intervention. That sounds efficient and cost-effective. But I’m wondering where the real complexity costs show up. Is it in the coordination overhead? Do you need more compute resources? Does managing multiple agents introduce operational costs that aren’t obvious upfront?
We’re looking at platforms that support multi-agent orchestration, and I want to understand what the actual cost curve looks like as you scale from one agent doing simple tasks to three or four agents collaborating on something more complex. Has anyone run the numbers on this? What surprised you about the actual cost once you got autonomous agents working together in production?