ChatGPT Enterprise vs Business: Which Fits Your Team?
ChatGPT Enterprise and the Team plan for business teams serve different organizational sizes and procurement needs. Here is how they compare on controls, purchasing, and shared work.
Updated 5 min read
ChatGPT Enterprise is OpenAI's organization-managed plan for larger teams that need SSO sign-in, compliance controls, and a negotiated contract. The Team plan is the self-service option designed for smaller business teams that want a shared workspace without a procurement process. Which one fits your team depends on how your organization buys software, who manages access, and what data-handling guarantees it needs.
Both plans keep the work inside ChatGPT. If a colleague switches to Claude or another tool for a task, they start over. Tools like fenbs keep projects, decisions, and progress in one shared record that every connected AI app can read, so a plan change or model switch does not mean rebuilding context from scratch.
At a glance
| Area | Team | Enterprise |
|---|---|---|
| Who it is for | Small to medium business teams | Larger organizations with formal IT and legal requirements |
| Purchasing | Self-service with credit card or invoice | Negotiated contract through OpenAI sales |
| Workspace | Shared workspace with an admin console | Shared workspace with expanded admin and security tooling |
| Sign-in | Email and social account login | Supports SSO and SAML for managed identity |
| Data handling | Conversations not used to train models by default | Expanded data controls and compliance terms |
| Usage limits | Per-seat allocation; check OpenAI for current limits | Higher limits; check OpenAI's current Enterprise page |
What each plan is designed for
The Team plan exists for business teams that want a shared workspace without going through a sales process. A small agency or startup engineering team can set it up with a credit card, invite members, and get to work the same day. The admin console gives an owner visibility into who has access and the ability to manage seats.
Enterprise is built for situations where IT and legal have requirements a self-service plan cannot meet. That typically means SSO or SAML sign-in through a company identity provider, expanded usage limits for high-volume teams, and data-handling terms that satisfy a compliance review. Purchasing goes through a contract, which adds lead time but also establishes guaranteed terms for the organization.
Shared workspaces and collaboration
Both plans give the team a shared workspace rather than separate individual accounts. Members join an organization, and shared custom instructions can apply across the team rather than each person maintaining their own version.
Enterprise adds features aimed at larger deployments, including more detailed admin controls and expanded audit capabilities. Read ChatGPT Enterprise for teams for a closer look at what the Enterprise workspace includes in practice.
Whichever plan you use, work stays inside ChatGPT. Keeping the team's real shared record in fenbs — projects, tasks, Decisions and rules, and Where we left off — means colleagues can continue from the same starting point in any connected AI app, not just ChatGPT.
One shared work record for the whole team
fenbs keeps projects, tasks, Decisions and rules, and Where we left off in one place that Claude, ChatGPT, Cursor, and other connected AI apps all read. Start with your real current project: add it, write its goal, create the live tasks, and record the decisions that always apply. Roles control who can change what.
Create a free accountFree for one person · No credit card · Works with Claude, ChatGPT, Cursor and more
Administration and security
Both plans include an admin console. Team gives owners the ability to manage seats, view members, and set shared instructions. Enterprise expands that with SSO and SAML sign-in options, which let a company identity provider control who has access and revoke it automatically when someone leaves.
If your organization already enforces a single identity provider for all software, Enterprise is the plan that fits that requirement. Team uses standard email and social account sign-in, so members are not tied into your central directory.
Purchasing and contract requirements
The Team plan is self-service: pick a seat count, enter payment details, and the workspace is ready. That works well for teams that can move quickly and do not need legal sign-off on terms before starting.
Enterprise requires a conversation with OpenAI's sales team. That process takes more time but produces a signed contract with specific terms for data handling, support, and usage guarantees. Organizations in regulated industries or those with a policy requiring signed data processing agreements need that contract. See OpenAI's Enterprise pricing page for what the process typically involves.
Data handling and compliance
Both plans have a default that keeps conversations from being used to train OpenAI's models. Enterprise adds stronger data controls and compliance options, including contractual terms that can satisfy legal obligations in regulated industries.
If your team handles personal data under laws that require a data processing agreement, or if legal needs to review terms before starting, the contract that comes with Enterprise is the relevant difference. Check OpenAI's current data handling documentation for the exact terms that apply to each plan.
Which fits your situation
Start with how your organization buys software. If a credit card, a straightforward admin review, and no signed contract is fine, Team works. If IT requires SSO, legal needs a data processing agreement, or you need guaranteed high-volume access, Enterprise is the right fit.
- Team fits: a small to medium business team that can self-serve and has no formal procurement requirement.
- Enterprise fits: an organization with IT-managed identity, legal compliance requirements, or large-scale usage needs.
- Unsure: check whether your current software procurement process requires a signed contract and identity provider integration.
For comparisons with other AI tools your team might use alongside ChatGPT, Claude vs ChatGPT, ChatGPT alternatives, and Copilot vs ChatGPT cover the main options. For guidance on whether ChatGPT fits a smaller team at all, see ChatGPT for business.
How to do this with fenbs
Once the plan decision is made, record it so every colleague and every connected AI knows what was chosen and why. That keeps the question from being reopened every time someone asks.
- Create a free account at fenbs. Team boards give each member a role and a shared view of the work.
- Add a project for the team's current main workload. Write its goal and any context a new colleague would need before starting.
- Record the plan choice in Decisions and rules: which ChatGPT plan the team uses, the reason, and who decided it. Mark it as a standing rule so every connected AI reads it first.
- Connect AI apps from Integrations. Claude, ChatGPT, Cursor, and others connect over MCP and read the shared context, including rules, before they work.
- When the plan changes in future, record a new decision that supersedes the old one. The original reasoning stays available.