Agentic applications are moving fast—from demos that impress in minutes to real-world systems expected to operate reliably, securely, and at scale.

But the leap from prototype to production exposes hard realities: unpredictable agent behavior, tool and integration failures, prompt drift, latency and cost spikes, and the uncomfortable truth that “it worked once” isn’t a strategy. At the same time, increased autonomy brings increased responsibility—systems must be safe, auditable, and aligned with human and business intent. In this talk, we present a practical, end-to-end blueprint for productionizing agentic apps responsibly.

We’ll cover proven architecture patterns; guardrails and safety controls; evaluation, testing, and red-teaming strategies; observability and debugging; reliable tool execution; and cost/latency optimization. We’ll also explore governance models and human-in-the-loop designs that balance autonomy with accountability, helping teams design for failure without slowing innovation.

Whether you’re building internal copilots, autonomous workflows, or customer-facing agentic products, this session will equip you to ship agents that are measurable, debuggable, and trustworthy—agents that don’t just think, but deliver, responsibly.