OpenAI Presence: Deploying Trusted AI Agents for Enterprise Workflows
We are introducing OpenAI Presence, a battle-tested product designed to help enterprises deploy reliable AI agents for high-value tasks. By combining model reasoning with strict policies, guardrails, and escalation rules, we ensure agents can resolve issues and take approved actions while maintaining full control. This system adapts over time through Codex-powered improvements, allowing businesses to scale trusted automation across voice and chat channels safely.
The challenge for enterprises is no longer proving that AI agents can work, it's making them reliable enough to do high-value work in production.
- NichoPaolucci
“The challenge for enterprises is no longer proving that AI agents can work, it’s making them reliable enough to do high-value work in production.”
This reads poorly to me. So they’ve proven the models CAN work, but they also say in the next line that they CANNOT do high value work in production.
No other comments from me but that first two sentence opener should have been massaged a bit. I’m sure they have a PR / messaging person (agent?) though, so maybe I’m reading too far into it.
- krzyzanowskim
Marketing departament went ahead and drop "battle-tested product" nobody ever battle tested.
- sailfast
For the sake of all our sanity I hope this is a good product that can solve real problems without being a ten minute barrier to getting to a human.
AI support has been terrible so far in my experience and tends to over optimize for a happy path easily solved on a company website rather than solve the issue that made me call them on the phone that is likely a system bug or other issue.
- NoraCodes
If I have to interact with this or a similar system to do business with you, if possible, I will simply stop doing business with you.
- YesBox
Hmm. Am I right to be concerned? One of the benefits of hiring people to do work is that it eliminates single points of failure. The last few decades have had technology automate a lot of rote processes. People have discussed crystal vs fluid dynamics and the balancing act/trade offs. Too much rigidity (automation) == slower to adapt in a dynamic environment.
I guess my question is, what is a safe AI "process percentile" for a company that lets it recover if the AI goes down or goes haywire? No one knows (?), but it's worth thinking about.
I am also curious just how much direction the AI will need given the environment is dynamic. Humans generally align to the company's goals because they are rewarded (paid) to, and need to to survive. Relationships are built on unspoken and spoken communication. Unspoken could be cultural, hierarchical, environmental pressures, etc. As an extension of that, companies build relationships with other companies by sending (essentially) diplomats and ambassadors to each other (the article mentioned using AI for sales).
-- All this to say: if you have to constantly explain the job to someone, they are not fit for the job.
We'll see, I guess.