Free Lesson

Why AI Agents Fail: Learn How to Get Them Production Ready

45 min
Jun 30, 2026 11:00 AM
Virtual (Zoom)

In this video

What you'll learn

Why many AI agent prototypes fail in real production env

Identify the key failure points that stop AI agents from becoming reliable production systems

How to design production agentic workflows

How to design agentic workflows using tools, memory, planning, and human-in-the-loop control

How to think about reliability, and deployment readiness

Assess readiness across reliability, ownership, deployment risks, user adoption, and measurable business impact.

Learn when open-weight models, Kimi, can deliver quality o/p

Understand when open-weight models like Kimi can match production needs through evals, tools, and orchestration.

Why this topic matters

By the end of this session, you will have a clear framework for understanding why AI agents fail and what it takes to make them production-ready. You will also learn how to evaluate AI agent ideas from the perspective of technical architecture, workflow reliability, user adoption, and business impact.

You'll learn from

Dr Ankur Narang

Dr Ankur Narang

Dr. Ankur Narang brings 30+ yrs exp in AI, Tech across MNCs & many verticals

Kush Khurana

Kush Khurana

AI & ML leader; Venture Partner, DeepCoreX; Ashoka faculty

IBM Research; Hike; Apparel Group; Yatra

Oracle
IIT Delhi
Apparel Group
Yatra
Meta
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