“In AI, success isn’t just about building smarter models—it’s about building models that survive the real world.”
From the trenches of fintech and quick commerce, Hemant Misra shares what it takes to bring AI from prototype to production at scale:
🔹 Prototype with Production in Mind: “Decide your deployment strategy at the prototyping stage—don’t wait until the end. If you patchwork later, you’ll pay in reliability and cost.”
🔹 Fail Fast, Save Resources: “Early failure is a feature, not a bug. If a problem can’t be solved with current tech, move on quickly—especially in fast-moving startups.”
🔹 Human-in-the-Loop is Critical: “Not every problem should be automated. For negotiations or nuanced queries, humans outperform chatbots. Build systems that let agents intervene when needed.”
🔹 Plan for Breakdowns: “Production will always reveal new issues. The key is to anticipate what can go wrong—and have solutions ready, from MLOps monitoring to fallback strategies.”
Gamechanger:
“End-to-end thinking isn’t optional. The fewer surprises you leave for deployment, the more robust your AI will be at scale.
Watch the full episode here :
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