Screenshot showing the OpenAI Presence interface for managing AI agent policies and workflows. — The OpenAI Presence dashboard enables enterprises to set guardrails and monitor AI agent performance in real-time.

OpenAI Launches Presence: A Battle-Tested Platform for Deploying Reliable Enterprise AI Agents

OpenAI has introduced Presence, a specialized enterprise product designed to deploy and manage reliable AI agents across complex customer and internal workflows. By integrating model reasoning with strict policies and guardrails, the platform ensures AI agents can perform high-value work autonomously while maintaining human-level oversight.

RMN Digital AI Desk
New Delhi | July 25, 2026

Scaling Reliable AI Workforce with OpenAI Presence

The enterprise landscape is shifting from experimental AI to production-ready implementation. OpenAI’s latest offering, Presence, addresses the critical challenge of making AI agents reliable enough for high-stakes business environments. Unlike standalone models, Presence provides the systems, evaluations, and deployment expertise necessary to adapt to changing products and user behaviors without sacrificing corporate control.

Empowering Agents with Guardrails and Systems Access

Presence allows enterprises to deploy “trusted” AI agents capable of answering questions, resolving complex issues, and interacting directly with company systems. These agents are assigned specific roles—such as handling insurance claims, billing disputes, or internal IT requests—and are granted only the knowledge and system permissions required for that particular job.

Presence transforms AI from a novelty into a reliable workforce, resolving up to 75% of inbound issues autonomously.

A core feature of the platform is its “policy-first” approach. Companies define exactly what an agent can do, determine when it requires human approval, and set rules for when an issue must be escalated to a person. This structure ensures that performance remains consistent and accurate across different channels, whether through voice or chat.

Continuous Improvement via Codex

To maintain reliability after launch, Presence utilizes a Codex-powered improvement loop. By analyzing production sessions and escalations, Codex proposes updates that human teams can test and approve, allowing agents to adapt to new customer behaviors in real-time. This process includes simulations and evaluation tools that help teams manage changes safely without starting from scratch for every new use case.

Deploy AI agents with confidence using built-in guardrails and a Codex-powered improvement loop that adapts to real-world data.

Proven Results in Mission-Critical Environments

The platform is already delivering measurable results. OpenAI uses Presence for its own English-language phone support, where the system now resolves 75% of inbound issues without human assistance. Within just ten days of launch, the Codex-powered improvement process reduced human handoffs by 15 percentage points.

Major global organizations are also adopting the technology:

BBVA is exploring AI-powered voice support for banking in Mexico.
SoftBank is testing Japanese-language customer conversations.
IAG is utilizing the platform to provide support during high-demand events like severe weather.

A Collaborative Path to Production

OpenAI works directly with customers and select systems integrators to identify high-value workflows, connect necessary systems, and establish the required security permissions. As these deployments expand, the insights gained continue to inform OpenAI’s research, creating a cycle of continuous product improvement for all enterprise users.