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Presentation: Powering the Future: Building Your GenAI Infrastructure Stack

Intuit scaled GenAI across 8,000 developers with a 'fixed, flexible, free' framework. Here's how they're avoiding agent failure at production scale.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

This is a public technical case study on building production AI infrastructure at enterprise scale. Leaders and architects need to understand how mature organizations are operationalizing GenAI across thousands of developers—the patterns, frameworks, and failure modes that apply beyond Intuit.

The key facts

6 to know
  1. Intuit GenOS deployed across 8,000 developers

  2. 3,500+ production experiments enabled

  3. 'Fixed, flexible, free' scaling framework

  4. LLM-as-a-judge evaluation strategy documented

  5. Tool-ready API architecture for agent development

  6. Critical agent failure modes identified and addressed

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the…
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