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.

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 knowIntuit GenOS deployed across 8,000 developers
3,500+ production experiments enabled
'Fixed, flexible, free' scaling framework
LLM-as-a-judge evaluation strategy documented
Tool-ready API architecture for agent development
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…