OpenAI debuts Frontier to deploy AI agents for enterprise users

OpenAI has introduced OpenAI Frontier, a new enterprise platform designed to transform “AI agents” into deployable AI coworkers capable of operating across real business systems. This initiative addresses an “opportunity gap” where, despite the increasing strength of AI models, enterprises face challenges in deploying agents due to fragmented data, applications, clouds, and governance.

Frontier is positioned as a comprehensive solution to build, deploy, and manage agents with shared business context, onboarding, feedback-driven learning, and strict permissions and boundaries. OpenAI claims it integrates silos such as data warehouses, CRMs, ticketing tools, and internal apps into a shared semantic context, enabling agents to understand organizational workflows rather than merely providing isolated answers. Additionally, it offers an agent execution environment for file work, tool use, and code execution, along with built-in evaluation and optimization to measure and improve performance.

The platform is designed to function across existing systems without necessitating a replatform, utilizing open standards so companies can incorporate existing data and agents, including those from third parties. OpenAI envisions agents being accessible through multiple interfaces, including ChatGPT, workflow tooling via Atlas, and within existing business applications. Early adopters of the platform include HP, Intuit, Oracle, State Farm, Thermo Fisher, and Uber, with BBVA, Cisco, and T-Mobile participating as pilot users.

Frontier is currently available to a limited group of customers, with plans for broader availability in the coming months. OpenAI is collaborating with Forward Deployed Engineers to assist customers and is forming a partner group with AI-native vendors such as Abridge, Clay, Ambience, Decagon, Harvey, and Sierra.

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