Editorial illustration for OpenAI launches Frontier platform to build, deploy, manage AI agents
OpenAI Deep Research Agent Transforms Multi-Step Tasks
OpenAI launches Frontier platform to build, deploy, manage AI agents
OpenAI launched a new platform today. They're calling it OpenAI Frontier. The pitch?
Think of it as an HR department, but built for teams of AI agents instead of people. It handles onboarding, permissions, and shared context. And it’s not just for OpenAI’s own models; the system is designed to manage automated workers from other firms, too.
A limited release starts right now. The first named customers are Intuit, State Farm, Thermo Fisher, and Uber. A wider launch is slated for the coming months.
Right now, many companies simply run AI agents on top of whatever they’re using, which often means fragmented tools, disconnected workflows, and siloed data. Frontier sits on top of that to create a “shared business context” for agents, connecting them with everything needed to work and communicate effectively.
For an early adopter like Uber, the real work begins. The test is practical integration—wiring these AI teams into live operations. Raw intelligence is table stakes now.
The corporate challenge has clearly shifted. OpenAI’s entire structure implies the next big hurdle is coordination: the intricate, messy work of managing many agents, each with a specific role.
Common Questions Answered
How does AgentKit help developers build AI agents more efficiently?
[openai.com](https://openai.com/index/introducing-agentkit/) reveals AgentKit provides a visual canvas for creating multi-agent workflows with drag-and-drop nodes and versioning capabilities. The platform includes an Agent Builder for designing workflows, a Connector Registry for managing data and tool connections, and ChatKit for embedding customizable chat-based agent experiences.
What key features does AgentKit offer for agent development and optimization?
AgentKit introduces several powerful features for agent development, including a visual Agent Builder for workflow composition, a Connector Registry for managing tool integrations, and expanded evaluation capabilities. The platform supports features like datasets, trace grading, automated prompt optimization, and third-party model support to help developers measure and improve agent performance more effectively.
What real-world impact have AI agents had according to the AgentKit announcement?
[openai.com](https://openai.com/index/introducing-agentkit/) highlights successful agent implementations by companies like Klarna, which built a support agent handling two-thirds of all customer tickets, and Clay, which 10x'ed their growth using a sales agent. The platform aims to help developers build agents more efficiently and reliably across various business use cases.
Further Reading
- Introducing OpenAI Frontier — OpenAI
- OpenAI Frontier | Enterprise platform for AI agents — OpenAI
- State Farm® Advances AI Vision Through Collaboration with OpenAI — State Farm Newsroom
- OpenAI for Developers in 2025 — OpenAI Developers