Frontier is a new enterprise AI platform from OpenAI designed to help companies build, deploy, manage, and scale autonomous AI agents — “AI coworkers” — that actually do real work inside businesses (not just chat). These agents can connect to a company’s systems, understand context across tools and data, and perform complex, multi-step tasks.

Instead of being a single model, Frontier is a platform — a software layer and orchestration system — that helps enterprises organize and govern autonomous agents much like how HR systems help manage people.

1. Shared Business Context

Frontier connects and integrates with a company’s existing data systems — like CRM tools, data warehouses, internal apps, and processes — so AI agents understand how work actually gets done. It creates a semantic layer that gives agents shared situational awareness.

2. AI Coworkers with Skills

Agents running on Frontier:

• Can reason over real data and internal workflows
• Execute tasks like interacting with files, running code, launching workflows, analyzing information, or automating processes
• Work alongside humans across applications, not just inside a chat window.

3. Learning and Feedback

Frontier includes tools to evaluate and improve agent performance over time. Agents learn from experience (like employees) — improving the quality of results as they operate.

4. Identity, Permissions, and Governance

Each agent gets its own secure identity and access controls, with enterprise-grade security to ensure they only access what they’re allowed to — critical for regulated industries.

5. Works with Multiple Environments

Agents can run in customers’ clouds, local infrastructure, or OpenAI-hosted runtimes, and the platform supports third-party agents too — making it flexible rather than proprietary.

Frontier vs. GPT-5.3-Codex

• Frontier is a platform for managing and orchestrating AI agents in real business workflows.
• GPT-5.3-Codex (also recently announced) is a specific model optimized for coding and reasoning tasks; it’s an intelligence engine that can write, debug, and build code, among other things.

In other words:

• Codex models are brains — powerful AI engines.
• Frontier is a workplace system — a way to coordinate, scale, and govern many agents built with those brains across enterprise operations.

Frontier vs. Claude Cowork

Anthropic’s Claude Cowork is also focused on enterprise use, but early reports frame Frontier as a broader control plane for many agents across systems — aiming to unify workflows rather than just assisting individuals or teams. It focuses on architectural scale, cross-system orchestration, and integration with enterprise software such as Salesforce or Workday.

So:

• Claude Cowork = AI productivity assistant at scale.
• Frontier = agent orchestration and management layer across an organization’s entire workflow stack.

• Enterprise Adoption: Rather than a single assistant or chatbot, Frontier lets organizations create fleets of AI agents that work like digital employees across roles and systems.
• Integration Over Isolation: It tackles the hard problem of fragmented tools and data in enterprise environments — giving agents the context they need so they actually deliver value.
• Continuous Improvement: Agents improve through feedback loops and evaluation tools, avoiding static, one-off AI scripts.
• Governance & Trust: Built-in security and identity controls make agents safer for regulated and mission-critical workflows.