Stampli cut launch production time by 68% using OpenAI's Codex and ChatGPT Work, compressing a multi-week sprint into days under a fixed deadline with design resources already allocated elsewhere.
The case study is worth reading for the operational specifics: how Stampli's team divided tasks between Codex for code generation and ChatGPT Work for broader production coordination, and where the bottlenecks actually moved once AI handled the heavy lifting. The 68% figure is the headline, but the methodology behind it is the story.
This is a concrete enterprise benchmark, not a demo. As more B2B SaaS companies face compressed go-to-market timelines, Stampli's workflow breakdown offers a replicable template. The question the full article raises but does not fully answer: what breaks at scale when the deadline pressure is permanent, not episodic.
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