OpenAI has launched Presence, an enterprise platform designed to help large organizations deploy and manage AI agents for both customer-facing and internal business workflows. The platform allows agents to answer questions, access company systems, take approved actions, and hand off to humans when needed—all within company-defined policies. It is now available in limited form, with OpenAI's engineers and partner integrators managing deployments, though pricing and full availability details have not been disclosed.
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OpenAI announced Presence, a new platform for enterprises to deploy and manage AI agents that handle customer-facing and internal workflows. The product is available now through a limited general availability program, with deployments led by OpenAI Forward Deployed Engineers and select global systems integrators.
Why it matters
Presence lets companies deploy agents that answer questions, access internal systems, take approved actions, and escalate to human staff—all under company-defined policies and permissions. This addresses enterprise demand to operationalize AI agents beyond chatbots, with human oversight built in.
What to watch
OpenAI has not disclosed pricing, geographic availability, contractual terms, the cost of engineering and integration work, or whether Presence can use non-OpenAI models. Availability is limited to eligible enterprise customers and does not yet support self-service deployment.
OpenAI announced Presence, a new enterprise product for deploying and managing AI agents across customer-facing and internal business workflows. The offering targets eligible enterprise customers that want agents to perform specific tasks: answer questions, access company systems, take approved actions, and escalate to human workers—all while operating under company-defined policies, permissions, and evaluation standards.
Presence is available immediately, but only through a limited general availability program. Deployments are led by OpenAI Forward Deployed Engineers and select global systems integrators; the product is not yet available on a self-service basis. This hands-on approach means enterprises cannot simply sign up and configure the system independently.
OpenAI has withheld several key details about the offering. The company has not disclosed pricing, geographic limits, contractual terms, or the expected cost of the engineering and integration work that will accompany each deployment. Additionally, OpenAI has not stated whether Presence can use models from providers other than OpenAI—a notable gap given the emergence of powerful open-weights alternatives like GLM-5.2.
Presence represents OpenAI's push into enterprise agent deployment—a step beyond offering an API or chat interface. Rather than letting customers build their own systems from scratch, OpenAI is packaging the infrastructure, governance, and human-in-the-loop safeguards that large organizations need to run agents in production. The limited-availability model, with OpenAI's Forward Deployed Engineers leading each rollout, signals a high-touch, consulting-driven go-to-market strategy. This approach likely reflects both the complexity of integrating agents into legacy business systems and OpenAI's desire to ensure that deployments meet company governance and safety standards. By withholding pricing and contractual details, OpenAI is keeping the door open to negotiate terms tailored to each customer's scale and requirements—a common pattern in enterprise software where integration cost often exceeds software licensing cost.
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