The hype around agentic AI is real, but building agents that are reliable, goal-directed, and production-ready in complex enterprise environments requires far more than prompt engineering. This panel brings together practitioners who have moved beyond the chatbot and into real-world agentic deployments, tackling the hard problems of reliability, orchestration, and business integration head-on.

As AI systems take on higher-stakes decisions, "good enough" is no longer good enough - rigorous benchmarking for safety and robustness is becoming a core enterprise capability, not an afterthought. This panel examines how leading organisations are setting the standards, tools, and processes to ensure their AI can be trusted when it matters most.