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OpenAI launches Presence to help businesses deploy agents

OpenAI is launching Presence, a new enterprise offering designed to help businesses deploy reliable AI agents for customer service and internal workflows.

The Decoder2 Aug 2026Agents
Image: The Decoder

OpenAI is addressing the persistent difficulties of deploying artificial intelligence in live business environments with the introduction of Presence. While the company previously offered Workspace Agents—customizable GPTs designed primarily for internal operations—this new enterprise-focused solution is specifically built to handle production-level deployments. Presence aims to transition AI agents from experimental internal tools into reliable, customer-facing systems and robust operational workflows.

To bridge the gap between standard AI capabilities and complex corporate environments, OpenAI is pairing the technology with hands-on technical support. When a business encounters integration challenges that Presence cannot resolve out of the box, the company's Forward Deployed Engineers will intervene. These specialized engineers collaborate directly with enterprise clients to identify viable workflows, integrate legacy systems, establish operational guardrails, and oversee rigorous testing phases leading up to the official production launch.

For AI practitioners and enterprise developers, this shift represents a move away from self-service prompt engineering toward managed, enterprise-grade deployment. Instead of struggling to make basic GPTs reliable enough for external customers, developers can leverage dedicated engineering support to ensure system stability. This hands-on assistance helps mitigate the unpredictability that often dooms pilot AI projects before they reach production.

However, implementing this new framework comes with some caveats. Presence is currently restricted to qualifying enterprise customers rather than being an open-access product. Furthermore, OpenAI has not yet disclosed how it plans to navigate strict regulatory frameworks, such as the EU AI Act, or what specific legal frameworks will underpin its trust mechanisms. Practitioners in highly regulated industries will need to weigh these compliance uncertainties before fully committing to the platform.

This is our own summary of reporting by The Decoder

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