OpenAI Presence is a managed enterprise product for deploying governed AI agents across customer support, internal service workflows, voice, and chat. It is not a consumer ChatGPT feature, a self-serve app builder, or a general replacement for a company’s help desk software.
OpenAI announced Presence on July 22, 2026. The main thing to know is that Presence packages models, policies, permissions, evaluations, guardrails, human escalation, and deployment support into a managed product for organizations with repeatable, high-volume workflows.
Quick answer
OpenAI Presence helps eligible enterprise customers build and operate production AI agents that can answer questions, use approved company systems, take approved actions, and escalate to people when needed.
It is currently available through a limited general availability program. OpenAI says deployments are led by OpenAI Forward Deployed Engineers and select global systems integrators, so Presence is not something an individual user can simply turn on in ChatGPT.
OpenAI Presence at a glance
| Detail | Current information |
|---|---|
| Product type | Managed enterprise AI agent platform |
| Announced | July 22, 2026 |
| Main channels | Voice and chat during limited general availability |
| Early use cases | Customer support, outbound sales, claims, HR, IT help desk, procurement |
| Availability | Eligible enterprise customers through limited general availability |
| Self-serve access | Not currently self-serve |
| Pricing | Specific to each customer and deployment |
| Main risk to check | Data access, permissions, escalation rules, and production testing |
The useful distinction is that Presence is built for production workflows. It is not just a document chatbot. OpenAI’s help documentation says each deployment requires scoping, integrations, testing, review, and approval before launch.
What can OpenAI Presence agents do?
OpenAI describes Presence agents as agents that can be configured to follow approved instructions, use approved knowledge, connect to business systems, retrieve or update information, complete approved actions, and escalate to a person when the workflow requires human judgment.
That can include a support agent checking account information, applying a company policy, and taking a limited action such as resolving a billing issue. It can also include internal workflows such as HR questions, IT help desk requests, procurement intake, or claims support.
The exact capabilities are not universal. A Presence deployment receives only the knowledge and system access required for a specific job. That means two companies using Presence may have very different integrations, policies, channels, data rules, and approval steps.
How Presence is different from ChatGPT Workspace Agents
OpenAI says Presence is separate from ChatGPT Workspace Agents. Workspace Agents are created and used inside supported ChatGPT and Slack workspace experiences. Presence agents are scoped and deployed with OpenAI, a select deployment partner, or both.
The practical difference is control and production readiness:
| Question | Presence | ChatGPT Workspace Agents |
|---|---|---|
| Who is it for? | Enterprise teams with production workflows | Teams using supported ChatGPT workspace features |
| How is it deployed? | Managed with OpenAI or deployment partners | Built inside supported workspace experiences |
| Main use | Governed voice and chat agents tied to business systems | Workspace task support and shared agents |
| Availability | Limited general availability | Depends on ChatGPT workspace plan and rollout |
| Pricing | Customer and deployment specific | Workspace plan dependent |
If you are deciding what to ask your company about, the first question is whether you need a production customer or employee workflow, or a workspace assistant for internal tasks. Those are different products.
What is confirmed
OpenAI has confirmed several concrete points:
- Presence is available for eligible enterprise customers through limited general availability.
- It supports conversational workflows through voice or chat during the current program.
- It is not self-serve.
- Deployments can use simulations, evaluations, guardrails, scoped permissions, approval steps, session records, action histories, human escalation, monitoring, and rollback processes.
- Pricing, exact features, models, channels, capacity, data handling, and service commitments are defined for each deployment.
- OpenAI’s own English-language phone support channel uses Presence.
OpenAI also names BBVA, SoftBank, and IAG as organizations exploring or building on Presence-related deployments.
What is still unknown
There are important details that are not public because they are deployment-specific:
- Public package pricing.
- A universal model list for every deployment.
- Exact data retention rules for every customer.
- Supported contact-center integrations for every customer.
- Regional availability for every enterprise.
- Whether a given company qualifies for the limited general availability program.
Do not assume that one Presence case study describes what every deployment can do. For this product, the contract, security review, architecture, and approved workflow matter more than the product name.
How deployment works
OpenAI’s help documentation describes a managed process. A company starts by defining business outcomes, success criteria, and initial workflows. The deployment then connects required systems, encodes permissions and escalation paths, completes security and privacy review, runs simulations and evaluations, stages a controlled production rollout, and keeps reviewing evidence after launch.
That process is important because a production agent may be allowed to retrieve data or take actions. A good deployment needs narrow permissions, clear approval rules, logs, rollback plans, and a human path for cases the agent should not decide.
For readers comparing products, our guide to comparing AI tools is a useful checklist. For pricing questions, remember that AI tool pricing often differs sharply between public plans and enterprise deployments.
What businesses should ask before using it
Presence can be useful only if the workflow is specific enough to govern. Before evaluating it, a team should ask:
- Which exact job should the agent handle first?
- What systems does it need to read or update?
- What actions require human approval?
- What data must never be exposed to the agent?
- Which policies decide when the agent escalates?
- What tests prove it is ready before launch?
- Who reviews session records and improvement suggestions?
- What rollback path exists if a new version behaves badly?
The safest first workflow is usually repeatable, measurable, and bounded. A vague goal such as “automate support” is too broad. A narrower workflow such as “handle a defined billing-status request with human escalation for exceptions” is easier to test and control.
Official sources
OpenAI’s Presence announcement explains the July 22 launch, production-agent positioning, limited availability, supported voice and chat channels, enterprise examples, and governance approach.
The OpenAI Presence product page lists use cases such as customer support, demand generation, claims, HR, IT help desk, and procurement. The OpenAI Help Center article explains managed deployment, limited GA, safeguards, data handling, and the difference from ChatGPT Workspace Agents.
FAQ
Is OpenAI Presence available to everyone?
No. OpenAI says Presence is available to eligible enterprise customers through limited general availability. It is not a self-serve consumer product.
Is OpenAI Presence part of ChatGPT?
Presence is an OpenAI enterprise product, but it is separate from ChatGPT Workspace Agents. It is scoped and deployed with OpenAI, selected partners, or both.
Does OpenAI Presence support voice agents?
Yes. OpenAI says Presence currently supports conversational workflows through voice or chat during limited general availability.
Can Presence agents take actions in company systems?
They can be configured to use approved tools and complete approved actions with scoped permissions. The exact actions depend on the deployment, policies, approvals, and integrations.
Is OpenAI Presence pricing public?
No public self-serve pricing is listed. OpenAI says pricing and implementation scope are specific to each customer and deployment.
Is OpenAI Presence just a chatbot trained on documents?
No. OpenAI’s help documentation says a Presence agent does not become production-ready simply by ingesting documents. Each deployment requires scoping, integration, testing, review, and approval.