Everyone seems excited about autonomous AI agents right now.

But one question keeps coming to mind: when an AI agent makes a decision that impacts customers, compliance, or business operations, who's ultimately accountable?

That's why the Human-in-the-Loop (HITL) approach is becoming such an important part of enterprise AI. It's not about slowing AI down, but making sure there's human judgment involved when the stakes are high.

How are you approaching the balance between AI autonomy and human oversight in real-world deployments?