OpenAI launches Frontier for building and managing AI agents

"OpenAI introduces the Frontier platform, which allows companies to build, deploy, and manage AI agents. It aims to offer an end-to-end approach to building agents and getting them to actually work within existing systems. OpenAI bases its approach on how companies have been onboarding people for years: with shared context, training, feedback, and clear access rights. Frontier is based on four core principles."

"First, an agent must understand how work actually happens within systems. To this end, the platform connects siloed data warehouses, CRM systems, ticketing tools, and internal applications into a single semantic layer accessible to all agents. Second, agents must be able to plan, act, and solve problems. The platform offers an open agent execution environment in which agents can work with files, run code, and use tools. In doing so, they build up memory from previous interactions, which improves performance."

"Third, quality improvement is crucial. Built-in evaluation and optimization make it clear what works and what doesn't. This way, agents learn what good work is and become better at tasks that matter. Fourth, each agent has its own identity with explicit permissions and guardrails, so teams can deploy them in sensitive and regulated environments. OpenAI provides Frontier engineers who work with customer teams on implementation and best practices."

Frontier allows companies to build, deploy, and manage AI agents with an end-to-end approach that integrates into existing systems without replatforming. The platform connects siloed data warehouses, CRM systems, ticketing tools, and internal applications into a single semantic layer for agent access. Agents operate in an open execution environment where they can work with files, run code, use tools, and accumulate memory from prior interactions. Built-in evaluation and optimization enable quality improvement. Each agent has explicit identity, permissions, and guardrails for sensitive and regulated environments. Frontier engineers support implementation, best practices, and feedback to improve models. Agents can run locally, on enterprise clouds, or OpenAI-hosted runtimes with low-latency options for time-sensitive work.

Read at Techzine Global