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# OpenAI gives eligible US businesses a labelled agent inside ChatGPT
- URL: https://www.ai-360.online/openai-gives-eligible-us-businesses-a-labelled-agent-inside-chatgpt/
- Published: 2026-11-13T11:40:18.000Z
- Updated: 2026-11-13T11:40:18.000Z
- Description: Business Hub lets companies claim profiles, supply product information and operate a separately labelled Business Agent. Sponsored placements are labelled, but the trust boundary between advice.
- Author: Stewart Tinson
- Tags: News, 1. Enterprise AI

Business Hub [lets companies](https://openai.com/index/introducing-businesses-chatgpt/?ref=ai-360.online) claim profiles, supply product information and operate a separately labelled Business Agent. Sponsored placements are labelled, but the trust boundary between advice, advertising and sales still needs scrutiny.

OpenAI has introduced Businesses in ChatGPT, a beta that lets organisations claim profiles, provide product information and inspect aggregated engagement. Eligible US ecommerce and online-service companies can create a Business Agent that answers customer questions in a separately labelled conversation.

OpenAI says the agent is distinct from ChatGPT’s independent responses and sponsored placements are labelled. That separation is necessary but not sufficient. Users still need to understand which claims come from the business, what data is shared, how complaints or refunds are handled and whether the agent can take actions beyond providing information.

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[Execution Level Governance- What audit-ready agent governance actually looks likeDavid Girvin, founder and CEO of Assury argues that model-in-the-loop review, AI governing AI, is fundamentally unreliable for regulated environments: even the best-performing models miss a meaningful share of violations, the reviewing model is typically provided by the same vendor being reviewed, and prompt injection or context poisoning can compromise both the acting agent and its supposed overseer simultaneously. He makes the case for deterministic, architecturally enforced controls instead, walking through Assury's approach of autonomy zones, session risk accumulation, and credential starvation, which lets a compromised agent be cut off from its tools instantly rather than relying on time-boxed access. The conversation touches on why David is sceptical of just-in-time credentialing as a solution for agent security more broadly, since agent sessions don't run on predictable human timescales, along with the current gap between how identity and security vendors are pitching agent protection and what he sees happening at the execution layer in practice. He also discusses the compliance and audit implications of probabilistic decision-making, arguing that regulated industries will increasingly need tamper-evident, hash-chained audit trails that can withstand scrutiny from auditors and regulators who are only beginning to understand agentic risk, and reflects on a named frontier lab's own published framework as an example of the gap between research and practitioner reality. Elsewhere, David reflects candidly on building a bootstrapped security company in an increasingly crowded market, why he turned down aggressive VC funding to stay in control of the product, and what a credible third-party assessment of his own gateway would need to look like given that Assury sits directly in the execution path for every customer's agents.![](https://storage.ghost.io/c/b5/36/b536821c-5870-4f52-b9ef-106719725971/content/images/icon/favicon-6ef33102-0ae0-4da8-8fc3-6201e2762b82.ico)BrightTALK![](https://storage.ghost.io/c/b5/36/b536821c-5870-4f52-b9ef-106719725971/content/images/thumbnail/image_1107713-aa003b1f-ceec-48c5-b519-d29c0d2b50c1.png)](https://www.brighttalk.com/webcast/21039/674139?ref=ai-360.online)