OpenAI shipped Presence today. It is positioned as an enterprise AI agent platform for deploying voice and chat agents across customer service and internal workflows. Not a model release. Not a new API. A platform play. The openai presence enterprise agent platform framing puts them in direct competition with vendors that Power Platform teams already evaluate alongside Copilot Studio.
I read the announcement twice to make sure I was not reading marketing copy. The word that stuck with me was proven. OpenAI does not usually lead with that word.
What OpenAI Presence actually is
Presence is a managed platform for building, deploying, and governing voice and chat agents. It sits on top of the Realtime API for the voice side and the Responses API for the chat side, but it wraps both in an opinionated shell with tenancy, transcript handling, handoff patterns, and observability baked in.
The pitch is straightforward. You bring the workflow. Presence handles the agent lifecycle. Deployment, versioning, evaluation, guardrails, and the integration layer to call into whatever backend systems the agent needs to talk to.
The voice piece is what makes this different from every enterprise chatbot pitch of the last two years. Most enterprise agent platforms I have looked at treat voice as an afterthought or a partner integration. Presence puts voice on the same footing as chat, which matters if you are targeting contact centers or any workflow where a phone call is still the primary channel.
The trust framing is aggressive too. OpenAI is claiming enterprise controls, data handling guarantees, and deployment patterns that are meant to survive procurement review. This is not a sandbox for hobby builds. It is aimed at buyers with a compliance team.
Why this launch matters
OpenAI is no longer just a model provider. With Presence they are becoming a full stack agent vendor. That is a real shift in how the market is going to look for anyone building on Power Platform, Copilot Studio, or the equivalent stacks from other cloud vendors.
The reason I care is not that Presence is going to displace Copilot Studio in large enterprises. It is not. Governance, DLP, environment strategy, and the Microsoft 365 identity fabric are not solved by a new platform from OpenAI. I made a similar argument when OpenAI shipped Workspace Agents and I stand by it.
What matters is expectation shift. When a stakeholder sees a Presence demo where a voice agent handles a helpdesk call end to end, transfers to a human with full context, and logs the transcript into a case system, they will ask why the internal version needs a six week discovery phase. That conversation is coming. If you are thinking about how to justify agent projects internally, the framework I use in How to Measure Useful Work Per Dollar for Your Power Platform AI Agents is worth having ready before that conversation starts.
The open question for me is whether Presence is a genuinely opinionated platform or a governance wrapper around Realtime plus Responses. Those are very different products. An opinionated platform makes hard trade-offs about how agents are built, how handoff works, and how you evaluate them. A wrapper just gives you knobs. I cannot tell from the announcement which one this actually is. I need to build something with it.
What I would try with it this week
I want to point Presence at a simple internal helpdesk scenario and see how it behaves. Nothing fancy. A voice agent that answers a call, identifies the caller, looks up the last three tickets from a ticketing system, and either resolves a password reset or hands off to a human with the transcript attached.
Three things I want to stress test.
Handoff. When the agent decides it cannot resolve the request, what does the human receive? A transcript? A structured summary? A live warm transfer with context? This is where most voice agent platforms fall down. It is also the scenario I had in mind when writing about Why AI Agents Fail in Production When They Worked Fine in Testing, and handoff edge cases are exactly the kind of gap that only shows up under real load.
Transcript retention and export. Where do the transcripts live, for how long, and can I pipe them into Power Automate or Dataverse for downstream analysis? If the answer is only inside OpenAI’s tenancy, that is a problem for anyone with data residency constraints.
Non-OpenAI integration. Can the agent call a Power Automate flow through a webhook, or is the integration story really only smooth if your backend is already OpenAI-native? This is the tell for whether Presence is a platform or a walled garden.
I will write up what I find. If it holds up in a real scenario I will say so. If it is a Realtime wrapper with a nice logo, I will say that too. You can follow along on LinkedIn where I usually post the messy version first.
Voice agents that survive contact with enterprise reality are going to be the story of the next year.
This post was inspired by Introducing OpenAI Presence via OpenAI.
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