OpenAI highlighted how Stampli, a financial automation company, used ChatGPT Work to compress weeks of production and launch work into days. The company leveraged AI code generation and assistance to overcome resource constraints, enabling teams to deliver new features on aggressive timelines despite competing resource demands. This case demonstrates how enterprise software companies can use AI development tools to bridge capacity gaps and accelerate time-to-market.

The example underscores AI's practical value in reducing implementation friction. By automating routine coding tasks and supporting rapid prototyping, ChatGPT Work allows teams to focus on higher-level design and architecture decisions rather than boilerplate development work.

What This Means for Your Business

Software development teams facing aggressive deadlines or resource constraints should pilot ChatGPT Work to quantify potential productivity gains. The Stampli example suggests meaningful compression of development timelines is achievable for standard software engineering tasks. Start with non-critical projects to establish baseline improvements before expanding to mission-critical systems.