OpenAI has launched Frontier, an enterprise-grade platform described as an operating system for enterprises, designed to build, deploy, and manage AI agents at scale, with its public launch on February 7, 2026.

Frontier is vendor-agnostic and open, supporting agents from OpenAI, Google, Microsoft, Anthropic, or in-house development, and interfaces through ChatGPT, Atlas workflows, or existing business apps.

Frontier aims to address fragmented AI implementations by providing a unified framework that lets AI agents operate with context, learning, and secure boundaries across an organization.

OpenAI’s Enterprise Frontier Program offers Forward Deployed Engineers to design architectures, establish governance, and launch agents in production, creating repeatable patterns for scaling.

The platform rests on four core components: a Shared Business Context to unify data sources and systems; an Agent Execution Environment for files, code, tools, and multi-step tasks; Memory & Learning so agents remember past interactions and improve; and Identity & Governance with unique identities, guardrails, and auditable logs.

The launch positions Frontier as an operating system for enterprises, enabling scalable management of AI agents across business functions.

Early access is limited to select partners with pilots underway at major firms, and broader rollout is planned in coming months through sales teams and waitlists.

Notable early beneficiaries include HP, Intuit, Oracle, State Farm, Thermo Fisher, Uber, with pilots at BBVA, Cisco, and T-Mobile.

Strategically, Frontier shifts value from standalone models to orchestration and infrastructure, potentially reducing vendor lock-in and enabling enterprise-wide automation beyond single projects.

Real-world impactIs demonstrated by case studies: a semiconductor maker cut chip optimization from six weeks to one day; a global investment firm automated end-to-end sales, freeing 90% of salespeople’s time; an energy producer boosted output by up to 5% and added over $1 billion in revenue; a financial services company reclaimed 90% of client-facing team time; and a tech firm saved 1,500 hours monthly in product development.