OpenAI Launches Frontier Platform for AI Agents in Enterprises

OpenAI has launched the Frontier, a platform focused on the construction and governance of AI agents in enterprises. With this, the organization aims to meet the growing demand from companies seeking flexibility rather than single-vendor solutions.

Frontier brings together integrated tools for execution, evaluation, and governance of agents in a single location. However, this centralized approach from OpenAI contrasts with the trend of companies adopting multi-vendor architectures.

Tatyana Mamut, CEO of the agent observability company Wayfound, told VentureBeat that many companies avoid committing to a single vendor as their AI strategies are constantly evolving.

“They are not ready for a total commitment. Everyone I talk to knows that they will eventually need a single solution, but the pace of change is very fast and no one wants to be locked into a long contract,” Mamut explained.

Comparison between Frontier and AWS Bedrock

OpenAI is not the first to offer a complete platform for building AI agents. AWS launched Bedrock AgentCore as a solution for companies that prefer not to assemble an extensive collection of tools.

However, AWS provides a significant advantage: access to multiple Language Learning Models (LLMs) for the construction of agents. This enables companies to opt for a hybrid system where an agent selects the best LLM for each task. OpenAI, however, has not clarified whether Frontier will allow the use of models and tools from other providers.

OpenAI also did not comment on whether Frontier users will be able to integrate third-party tools already in use. The company mentioned it is collaborating with firms like Clay and Oracle to design solutions within Frontier.

What is Frontier?

Frontier is a platform that offers access to enterprise-level tools from OpenAI. The company explained that Frontier will not replace its offerings like the Agents SDK or AgentKit.

According to OpenAI, Frontier integrates context, execution, and evaluation of agents in a single platform. “This allows agents to have the same skills as people need to succeed at work,” the company stated.

Users can connect their data sources, CRM tools, and other internal applications directly to Frontier, creating a semantic layer that normalizes permissions and information retrieval logic.

Frontier features an executive agent environment that can operate in local environments, clouds, or in “OpenAI-hosted runtimes.” Evaluation, security, and governance tools allow monitoring of agent behavior and performance, providing visibility into their success rates and accuracy.

Initially, Frontier was launched to a select group of clients, including HP, Intuit, and Uber.

Concerns about Security and Governance

Frontier is currently accessible only to a selected group of users, with broader availability planned for the near future. Enterprise providers are already considering the issues that the platform needs to address.

Ellen Boehm, senior vice president at Keyfactor, emphasized that there will still be a need to focus on security and identity issues. “Platform models like Frontier are crucial to democratize AI adoption, leveling the playing field for startups,” she stated.

Madhav Thattai, an executive at Salesforce, emphasized that regardless of the platform used, companies need to focus on creating agents that deliver significant value.

“Building an agent that works at scale and generates a return on investment is challenging. The real value for companies lies not just in the AI model but in the final implementation that translates raw technology into effective autonomous execution,” Thattai concluded.