"With its new Frontier platform, announced earlier this month, OpenAI is looking to position itself as the best option for managing enterprise AI agents. But to succeed, the company that delivered the popular ChatGPT in 2022 will need to show it can manage the complexity of large-scale agent deployments - and do so better than other tech vendors with the same aims. Frontier is an "end-to-end" platform designed to help "enterprises build, deploy and manage AI agents," according to OpenAI. It connects agents to core business systems - such as CRM, ERP, and data warehouses - and centralizes how these agents are configured, monitored and governed."
"Eric Goodness, Gartner distinguished vice president analyst, described it as an "intelligence layer" or "operating system" for enterprise AI agents. "It's a full-stack approach by OpenAI to abstract away a lot of the complexity of middleware and other challenges, to create broad generative and agentic AI-types of solutions," he said. "Enterprises are struggling to get from prototype and [proof of concept] and single step agents to a truly multi-agent, end-to-end flow," said Tim Law, research director at IDC. The launch of Frontier "bodes well for enterprises who are looking to work with OpenAI," he said."
OpenAI introduced Frontier to serve as an end-to-end platform for building, deploying, and managing enterprise AI agents. Frontier links agents to core business systems such as CRM, ERP, and data warehouses and centralizes configuration, monitoring, and governance. Early customers include State Farm and Thermo Fisher Scientific. Analysts describe Frontier as an intelligence layer or operating system with a full-stack approach to reduce middleware complexity. Enterprises face hurdles moving from prototypes to multi-agent, end-to-end flows. OpenAI already offers enterprise ChatGPT, APIs, developer tools, and partnerships with vendors and systems integrators while expanding toward a control-plane role.
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