Introducing OpenAI Frontier

AI has let teams take on things they used to talk about but never execute. In fact, 75% of enterprise workers say AI helped them do tasks they couldn’t do before. We’re hearing this from every department, not just technical teams. The way work gets done has changed, and enterprises are starting to feel it in big ways.

We’ve seen this in action with over 1 million businesses over the past few years. At a major manufacturer, agents reduced production optimization work from six weeks to one day. A global investment company deployed agents end-to-end across the sales process to open up over 90% more time for salespeople to spend with customers. And, at a large energy producer, agents helped increase output by up to 5%, which adds over a billion in additional revenue.

This is happening for AI leaders across every industry, and the pressure to catch up is increasing. What’s slowing them down isn’t model intelligence, it’s how agents are built and run in their organizations.

Today, we’re introducing Frontier, a new platform that helps enterprises build, deploy, and manage AI agents that can do real work. Frontier gives agents the same skills people need to succeed at work: shared context, onboarding, hands-on learning with feedback, and clear permissions and boundaries. That’s how teams move beyond isolated use cases to AI coworkers that work across the business.

The AI opportunity gap

Companies are already overwhelmed with the disconnected systems and governance spread across clouds, data platforms, and applications. AI made that fragmentation more visible, and in many cases, more acute. Agents are now getting deployed everywhere, and each one is isolated in what it can see and do. Every new agent can end up adding complexity instead of helping, because it doesn’t have enough context to do the job well.

Enterprises are feeling the pressure to figure this out now, because the gap between early leaders and everyone else is growing fast.