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At VentureBeat’s Transform 2025 conference, Olivier Godement, Head of Product for OpenAI’s API platform, provided a behind-the-scenes look at how enterprise teams are adopting and deploying AI agents at scale.
In a 20-minute panel discussion I hosted exclusively with Godement, the former Stripe researcher and current OpenAI API boss unpacked OpenAI’s latest developer tools—the Responses API and Agents SDK—while highlighting real-world patterns, security considerations, and cost-return examples from early adopters like Stripe and Box.
For enterprise leaders unable to attend the session live, here are top 8 most important takeaways:
Agents Are Rapidly Moving From Prototype to Production
According to Godement, 2025 marks a real shift in how AI is being deployed at scale. With over a million monthly active developers now using OpenAI’s API platform globally, and token usage up 700% year over year, AI is moving beyond experimentation.
“It’s been five years since we launched essentially GPT-3… and man, the past five years has been pretty wild.”
Godement emphasized that current demand isn’t just about chatbots anymore. “AI use cases are moving from simple Q&A to actually use cases where the application, the agent, can do stuff for you.”
This shift prompted OpenAI to launch two major developer-facing tools in March: the Responses API and the Agents SDK.
When to Use Single Agents vs. Sub-Agent Architectures
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