Choosing the AI for your team: plans, data and governance.
Claude
- Team
- Enterprise
ChatGPT
- Business
- Enterprise
Plans compared as published on 6 October 2026
Spain's statistics office measures AI use in Spanish companies: 21.1% of companies with 10 or more employees used artificial intelligence in the first quarter of 2025 (INE, survey on ICT and e-commerce use in companies, 2025). When a company wants to move from scattered use to one common tool, the decision usually gets framed as Claude vs ChatGPT. The answer depends on three things: your team's tasks, the tools it already uses, and what you require of how your data is handled.
Claude vs ChatGPT: what is the difference for a company?
On their business plans, Claude and ChatGPT cover the basics in much the same way (single sign-on, central administration and no training on your content by default), and differ in their feature ecosystem and advanced controls.
According to the Claude plans, the Team plan already includes Claude Code, Microsoft 365 connectors and enterprise search across your organisation. OpenAI, on its ChatGPT plans, highlights for Enterprise data residency in 10 regions, the EU among them, and ISO 27001, 27017, 27018 and 27701 certifications for its service.
So the useful question for your company is which plan fits your tasks and your control requirements, rather than which model answers better in the abstract.
What do the Claude and ChatGPT business plans include?
Both vendors offer a team plan (Claude Team and ChatGPT Business) and a corporate plan (Claude Enterprise and ChatGPT Enterprise) that adds identity, audit and data controls. This table summarises what each one publishes on its own pricing page, as of 6 October 2026.
| Feature | Claude (Team and Enterprise) | ChatGPT (Business and Enterprise) |
|---|---|---|
| Single sign-on (SSO) | Team and Enterprise | Business and Enterprise (SAML SSO) |
| No training on your content by default | Team and Enterprise | Business and Enterprise |
| Identity management (SCIM) | Enterprise | Enterprise |
| Role-based access | Enterprise | Enterprise |
| IP allowlist | Enterprise | Enterprise |
| Audit and logs | Enterprise: audit logs and compliance API | Enterprise: API logs platform |
| Data retention | Enterprise: custom retention controls | Not detailed on the pricing page |
| Data residency | Not detailed on the pricing page | Enterprise: 10 regions, including the EU |
| Vendor certifications | Not detailed on the pricing page | Business: SOC 2 Type 2. Enterprise: ISO 27001, 27017, 27018 and 27701 |
| Headline features | Claude Code, Microsoft 365 connectors, enterprise search | Workspace agents, access to several GPT models, extended context window |
Claude Team and Claude Enterprise
Claude Team covers what a team needs to work with the tool centrally: shared billing and administration, SSO, admin controls for connectors and enterprise deployment of the desktop app. Claude Enterprise adds the layer security teams usually ask for: SCIM, domain capture, role-based access, audit logs, a compliance API and custom data retention controls.
ChatGPT Business and ChatGPT Enterprise
ChatGPT Business includes SAML SSO, a management console, domain verification and SOC 2 Type 2 compliance. ChatGPT Enterprise adds SCIM, enterprise key management, role-based access controls, an IP allowlist, data residency in 10 regions and advanced 24/7 support.
Do Claude or ChatGPT use your company's data to train their models?
Not by default: on their business plans, Anthropic and OpenAI do not train their models on your conversations unless your company opts in.
Anthropic's privacy centre puts it this way for Claude for Work, the Team and Enterprise plans and its API: «We will not use your chats or coding sessions to train our models, unless you choose to participate» (Anthropic, Privacy Center, Mar 2026). The exceptions are material your team reports through feedback and explicit participation in its Development Partner Program.
OpenAI states the same principle in its enterprise privacy page for ChatGPT Business, Enterprise, Edu and its API: «By default, we do not train our models on your data» (OpenAI, Enterprise privacy, Jan 2026). It adds that your inputs and outputs are yours where the law allows, that deleted conversations are removed from its systems within 30 days, and that GDPR is covered by signing a data processing addendum (DPA).
These commitments apply to the business plans, not to the individual accounts some employees use on their own. Before deploying either tool, review the DPA, the retention terms and where the data is held with your legal and security teams. If EU residency is a requirement, OpenAI publishes it for ChatGPT Enterprise, and with Claude it is worth confirming directly with Anthropic.
Claude vs ChatGPT: which one fits your team's tasks?
The right one is whichever covers the tasks that eat the most hours in your team and connects to the tools where its information already lives.
From what each vendor publishes, these are the clearest cases:
- Engineering teams: Claude includes Claude Code from the Team plan, with no separate product to buy.
- Teams working in Microsoft 365: Claude Team includes Microsoft 365 connectors, and if your company already pays for Microsoft Copilot it is worth comparing before adding licences.
- An EU data residency requirement: ChatGPT Enterprise publishes it on its pricing page, and with Claude you need to confirm it with Anthropic.
- Strict audit and identity requirements: both Enterprise plans include SCIM, role-based access and an IP allowlist, so compare the detail of their audit logs.
If they are still tied after that filter, trial both on a real use case: the same process, the same people and 2 to 4 weeks of use, measuring how many hours the task takes before and after.
What if your company already uses Microsoft Copilot?
If your company already has Microsoft Copilot, the real comparison is between three tools, and the prior question is whether the problem is the tool or the lack of a method. In the Nestlé case, teams had adopted Copilot on their own, with uneven results and no shared method. The half-day Everyday AI workshops turned that scattered use into a standard way of working the organisation can scale.
Five criteria for deciding between Claude and ChatGPT
Before signing licences, review these five criteria with the teams involved (business, IT, security and legal):
Priority tasks
Which processes eat the most hours in each team, and what kind they are (code, analysis, writing or customer support).
Current stack
Where your information lives (Microsoft 365, Google Workspace, code repositories) and which connectors you need from day one.
Data requirements
Residency, retention, the DPA, and who decides about opting into model improvement programmes.
Admin controls
SSO, SCIM, role-based access, audit logs and an IP allowlist.
Measurement
Which task you will measure, against what baseline, and how you will know 60 to 90 days later whether the tool saves time.
If several tools are already circulating in your company with no oversight, start by taking an inventory. Our tooling audit reviews which AI tools are in use, unapproved ones (shadow AI) included, with what data and at what risk.
What does the AI Act require when your company deploys Claude or ChatGPT?
The AI Act asks your company, as the deployer, to take measures to support the AI literacy of its staff, whichever of the two it chooses.
The new wording of Article 4, introduced by Regulation (EU) 2026/1744, states that providers and deployers «shall take measures to support the promotion of AI literacy of their staff», taking into account their technical knowledge, their experience and the context of use (OJEU, Regulation (EU) 2026/1744, Jul 2026). The reform shifted the focus: the text no longer requires ensuring a specific level of literacy, but it keeps the duty to act.
In practice, it is worth documenting what training you provide, to whom, and for what use of the tool.
The tool matters less than the adoption
Choosing between Claude and ChatGPT is the quick part of the decision. What determines the return is whether your team applies the tool to its real tasks, so the training has to happen on that tool and on those processes, not on generic cases.
That is why we measure impact task by task: the hours a process takes before the training against the hours it takes 60 to 90 days later, valued at the loaded hourly cost and net of the training cost after the Spanish FUNDAE subsidy. We set the method out step by step in our guide on training ROI. Satisfaction surveys and hours delivered say nothing about business impact.
Next step
If your team already uses Claude, ChatGPT or Copilot with no shared method, start with a hands-on session on the tool your company already has. Our practical workshops run on Claude, Copilot or ChatGPT depending on your company's stack, start from a 10-minute pre-session survey and end with application commitments signed in the room.
We will come back with a starting point within 1 working day.