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 brings 30+ yrs exp in AI, Tech across MNCs & many verticals

Kush Khurana
AI & ML leader; Venture Partner, DeepCoreX; Ashoka faculty
IBM Research; Hike; Apparel Group; Yatra