The promise of AI agents lies in their ability to reason, plan, and take action with minimal human intervention but greater autonomy also introduces greater risk. As organizations move beyond copilots to production-grade agentic systems, the challenge is no longer can agents act independently? It's how much autonomy can they be trusted with? This panel brings together engineering and AI leaders deploying autonomous systems in production to explore the trade-offs between speed, control, and reliability. From human-in-the-loop workflows and approval gates to evaluation frameworks, observability, governance, and safety guardrails, we'll discuss how leading organizations are giving agents greater responsibility without sacrificing trust, compliance, or operational resilience.