OpenAI has launched ChatGPT Enterprise, a ChatGPT version designed specifically for enterprise needs. The enterprise version offers higher security, admin tools and user management, more speed, a 64k context window, the new “Advanced Data Analysis” and more.
Updates:
- 28.8.2023: ChatGPT Enterprise is launched – announcement from OpenAI
📖 This article is part of our comprehensive ChatGPT guide. Read the full guide →
What does ChatGPT Enterprise offer?
On 8/28/2023, OpenAI launched ChatGPT Enterprise. This offers a version of the popular AI solution geared towards enterprise needs. The core differences between the enterprise version and the regular version include:
- Enhanced security and data protection
- Ease of deployment
- Higher performance
Security and data protection
ChatGPT Enterprise offers its customers certified data security in accordance with the “SOC 2” standard. A company that designates itself as “SOC 2 compliant” has undergone an audit and demonstrated that it has effective security measures in place to protect customer data and the confidentiality of information. Data stored in the cloud is encrypted using the AES-256 standard. In addition, the prompts, customer data and company secrets used in ChatGPT Enterprise by the companies will not be used to train future versions of ChatGPT. This had previously been a cause for concern, such as in that ChatGPT could then simply be asked, “What projects is Company X working on?” etc.
Advantages at a glance:
- Customer prompts or data are not used for training models
- Data encryption at rest (AES-256) and in transit (TLS 1.2)
- SOC 2 compliant
Easy deployment for employees
By deployment, OpenAI means the targeted provisioning of ChatGPT to an organization’s employees and teams. This is because a new admin console, user management (name, email address, bulk member management) and analytics functionality (what is the usage?) are highlighted as features.
In addition, single sign-on functionality is offered so that users can log in easily and coupled with company IT. For example, employees log into a company wiki and gain access to ChatGPT through it at the same time. This simplifies IT management and quick use of ChatGPT on a day-to-day basis, especially if the company has several hundred or thousand employees.
Benefits at a glance:
- Dedicated admin console and easy bulk member management
- SSO and domain verification
- Analytics dashboard to understand usage
Higher performance
ChatGPT Enterprise offers approximately twice the text generation speed. In addition, unlimited GPT-4 requests are possible (in the normal version there is theoretically a cap, but we could never detect it). Very helpful is the now 32K token Context Window, so you can create much longer prompts and outputs. This is often helpful if you include information like “Summarize this text” or “Translate this text” along with the request, copying in a few pages of text and getting it back from ChatGPT.
There are also new features for “Advanced Data Analysis” (previously known as“Code Interpreter“). Data analysis and code generation are especially important for enterprises, which often have huge amounts of data in the form of spreadsheets, Word and PDF documents, wiki pages, and databases that can be better tapped by AI using the Advanced Data Analysis feature. As an example, you can think of queries like, “Find out which products sell better in which regions and give possible reasons for this based on our latest product advancements.”
Advantages at a glance:
- 2x as fast text generation
- Unlimited GPT-4 queries
- More powerful “Advanced Data Analysis” feature (previously: Code Interpreter)
- 32k Context Window
- Shareable chat templates for enterprise workflow improvement
Read also: GPT-5.2 in practical use: How Netomi Enterprise Agents scales
Which companies are using ChatGPT Enterprise?
The customer list listed on the OpenAI website already includes over 20 mostly globally known companies, such as Shopify, Zendesk, Zapier, Robinhood, Asana, Canva, Price Waterhouse Cooper, Bain & Company and more. The customer list makes it impressively clear that generative AI can be used in many industries.
- Age of learning (industry: e-learning)
- Amgen (industry: biotechnology)
- Asana (Industry: Software development)
- Bain & Company (Industry: Management consulting)
- Broadridge (Industry: Financial technology)
- Canva (Industry: Graphic design software)
- Carlyle (Industry: Private Equity)
- Casetext (Industry: Legal technology)
- City Football group (Industry: Sports Management)
- Clearbit (Industry: Data analysis)
- Descript (Industry: Software development)
- Khan Academy (Sector: E-learning)
- PwC (Industry: Management consulting and accounting)
- Quizlet (Industry: E-Learning)
- Ramp (Industry: Financial technology)
- Riot Games (Industry: Video game development)
- Robinhood (Industry: Financial Technology)
- Samsara (Industry: IoT)
- Shopify (Industry: E-commerce platforms)
- Sourcegraph (Industry: Software Development)
- Sprinklr (Industry: Customer Relationship Management)
- Square (Industry: Financial Technology)
- Zapier (Industry: Software Development)
- Zendesk (Industry: Customer relationship management)
Data security vs. data protection: Hosting in Europe? Unclear.
The most intriguing question for European companies is how they will fare with the European data protection standard, DSGVO, rather than the SOC 2 standard implemented by OpenAI. A successful SOC 2 audit alone does not guarantee full compliance with the GDPR. The DSGVO has many specific requirements that go beyond those of SOC 2, particularly with regard to data subjects’ rights (e.g., right to erasure, right to data portability) and data processing principles.
For this, it would be important to know where and how the hosting of the ChatGPT Enterprise version is done in the cloud. Because in order to comply with GDPR guidelines, Europe-based hosting would be a core requirement. Since OpenAI does not provide any information about the hosting of ChatGPT Enterprise on their website, it can be assumed that this will initially only be done in a global cloud, i.e. it is currently not sufficient for DSGVO requirements.
Recommended: ChatGPT Connectors: OpenAI connects AI chatbot with enterprise software
How much does ChatGPT Enterprise cost? Unclear.
Costs are not mentioned yet, but only referred to the sales team. Common enterprise software is often priced by the number of users, so companies can scale in a calculated way. Companies of strategic importance are often viewed as multipliers, indicating that their prices are open to negotiation.
Conclusion: AI continues to move into companies
With ChatGPT Enterprise, OpenAI delivers a solution already anticipated by many companies to provide their employees with targeted and secure access to the powerful and efficiency-enhancing AI solution. Many European companies will probably have to wait a bit longer for enhanced data protection standards. All companies that already have the ability to use ChatGPT Enterprise will now be able to leverage the strengths of AI to improve business processes.
We will of course keep our readers updated as soon as there are new details about costs, features and experiences. Feel free to subscribe to our newsletter for that.
Important sources
More articles about ChatGPT Enterprise:
OpenAI and Microsoft are working on different versions of their generative AIs for enterprise.
- OpenAI: ChatGPT Enterprise (targeted at large enterprises) – Status: available
- OpenAI: ChatGPT Business (aimed at smaller teams) – status: announced, not yet available
- Microsoft: Bing Chat Enterprise (aimed at large enterprises) – Status: available as a preview version
AI Rockstars verdict
TL;DR: ChatGPT Enterprise is most valuable when companies need secure AI access, admin controls, higher usage limits, and workflows for knowledge work at scale. The main success factor is governance, not merely giving employees a chat interface.
Editorial recommendation: Roll out ChatGPT Enterprise with use cases, policies, champions, and measurement. Start with teams where AI can reduce repetitive writing, analysis, support, sales, or research work and where output quality can be reviewed.
ChatGPT Enterprise rollout checklist
| Scenario | Recommendation | Why it matters |
|---|---|---|
| Security and admin controls | Critical | Enterprise AI needs controlled access and policy alignment. |
| Priority use cases | Critical | Adoption improves when teams know what to use it for. |
| Training and examples | High | Employees need reusable patterns, not vague permission to experiment. |
| Impact measurement | High | Track time saved, quality improvements, and workflow adoption. |
FAQ
What is ChatGPT Enterprise?
ChatGPT Enterprise is a business version of ChatGPT with enterprise-focused security, administration, and usage capabilities.
Who should use ChatGPT Enterprise?
It is suited for organizations that want governed AI access across teams and repeatable knowledge-work workflows.
What makes a rollout successful?
Clear use cases, governance, training, champions, and measurable workflow impact make rollout more successful.
