We’re evaluating whether autonomous AI agents make sense for our enterprise self-hosted automation setup. The pitch is that multiple agents can coordinate on complex workflows without constant human intervention. That sounds great from an efficiency standpoint.
But I’m trying to understand what actually breaks from a governance perspective when you’re letting AI agents make decisions across a workflow. In a traditional setup, there are clear handoff points and human oversight. Once you remove that, what are the real risks?
We’re particularly concerned about licensing coordination. If you have three agents working on the same workflow, are they each using separate licenses? Does licensing become simpler or more chaotic? And what about audit trails and compliance—are those things actually easier or harder to track when the decision-making is spread across multiple agents?
Honestly, I’m trying to figure out if this is a real operational simplification or if we’re just pushing complexity somewhere else. Have you deployed this in a real enterprise environment, and what governance patterns actually worked?