OpenAI today announced Frontier, a new enterprise platform designed to help organizations build, deploy, and manage AI agents that can do real, end-to-end work across the business.
As AI adoption accelerates, enterprises are seeing clear gains. According to OpenAI, 75% of enterprise workers say AI helped them complete tasks they could not do before. But while model intelligence has advanced quickly, many organizations struggle to move AI agents beyond pilots into reliable production use.
Frontier is OpenAI’s answer to that gap.
From AI Experiments to AI Coworkers
Over the past few years, OpenAI has worked with more than one million businesses, observing a consistent pattern. The biggest bottleneck is not how smart models are, but how agents are built, governed, and operated inside complex organizations.
In real-world deployments:
- A semiconductor manufacturer reduced chip optimization work from six weeks to one day
- A global investment firm freed up 90% more time for sales teams by automating end-to-end workflows
- A large energy producer increased output by up to 5%, adding more than $1 billion in revenue
These results are becoming more common, but only for teams that can run agents reliably at scale.
What Frontier Is Built to Do
Frontier is designed around a simple idea: AI agents should work like employees do.
That means giving AI coworkers:
- Shared business context
- Clear onboarding and institutional knowledge
- The ability to learn from feedback
- Defined identities, permissions, and boundaries
Instead of isolated agents tied to individual tools or teams, Frontier supports AI coworkers that operate across systems, clouds, and workflows.
Early Enterprise Adoption
Several large organizations are already adopting Frontier, including HP, Intuit, Oracle, State Farm, Thermo Fisher Scientific, and Uber.
Dozens of existing OpenAI customers, including BBVA, Cisco, and T-Mobile, have already piloted Frontier to power complex AI-driven workflows.
State Farm highlighted Frontier’s impact on customer service and operations, noting that pairing the platform with human teams is accelerating AI adoption across the organization.
Closing the AI Opportunity Gap
Enterprises today are fragmented across clouds, data platforms, and applications. AI has made this fragmentation more visible. Agents are often deployed in isolation, with limited context and narrow permissions, increasing complexity instead of reducing it.
OpenAI describes this as the AI opportunity gap: the growing distance between what AI models are capable of and what organizations can actually deploy in production.
Frontier aims to close that gap by providing an end-to-end system for agent execution, evaluation, optimization, and governance.
How Frontier Works
Shared Business Understanding
Frontier connects data warehouses, CRMs, ticketing systems, and internal tools into a shared semantic layer. AI coworkers understand how information flows, where decisions are made, and what outcomes matter.
Plan, Act, and Execute
Agents can use computers, tools, files, and code to complete complex tasks. They operate in a dependable execution environment and build memory over time, improving performance with experience.
Continuous Quality Improvement
Built-in evaluation and optimization tools allow agents to learn from real work, helping teams understand what’s working and where performance needs improvement.
Identity and Governance
Each AI coworker has a clear identity, permissions, and guardrails. Enterprise-grade security and governance are built in, making Frontier suitable for regulated and sensitive environments.
Combining Technology With Deployment Expertise
OpenAI pairs Frontier customers with Forward Deployed Engineers, who work directly with enterprise teams to help move agents into production. This creates a feedback loop between customer deployments and OpenAI research, improving both enterprise systems and future models.
An Open Enterprise AI Ecosystem
Frontier is built on open standards and works with existing data, applications, and agents. AI coworkers can operate through multiple interfaces, including ChatGPT, OpenAI Atlas, and existing business applications.
OpenAI is also working with early Frontier partners such as Abridge, Ambience, Clay, Decagon, Harvey, and Sierra to design and deploy enterprise-ready solutions.
Availability
Frontier is available today to a limited group of customers, with broader availability expected in the coming months.
As OpenAI puts it, the question for enterprises is no longer whether AI will change how work gets done, but how quickly AI agents can become a real competitive advantage.