Kiriti Badam

Engineer and product builder with experience working on Codex at OpenAI and building ML infrastructure at Google; has led and supported dozens of AI product deployments and speaks about evals, monitoring, and agent design in production.

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Jan 11, 2026 • 1h 26min

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon

Aishwarya Naresh Reganti, an AI researcher and product builder, and Kiriti Badam, an engineer with experience at OpenAI, share insights from deploying over 50 AI products. They discuss the crucial differences between AI and traditional software, emphasizing a gradual increase in autonomy for successful products. Reliability emerges as a key blocker in enterprise adoption, while customer trust and effective monitoring methodologies are highlighted as essential. They also stress the importance of design judgment and persistent problem-solving in the evolving landscape of AI.

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