Enterprise
The highest service tier designed for the security, compliance, and administrative efficiency of large organizations. It guarantees data training exclusion, SSO integration, precise permission controls, and dedicated technical support, and is typically adopted through custom contracts.
Detailed explanation
Why it matters in tool selection
The biggest risks when adopting AI in an enterprise environment are data leaks and compliance violations. Enterprise plans protect intellectual property by codifying 'no data training,' and prevent Shadow IT issues and maintain legal compliance by providing audit features that allow central administrators to monitor all employees' AI usage history.
What to look for
- Check for explicit clauses stating that data will not be used for AI model training
- Whether it supports SSO integration with existing corporate authentication systems (such as Okta, Azure AD, etc.)
- The level of Service Level Agreement (SLA) that guarantees compensation in the event of service outages
- Whether data residency options are available (to comply with local laws or specific regulations)
- Whether a dedicated technical support channel and a Customer Success Manager (CSM) are assigned
Examples
OpenAI's 'ChatGPT Enterprise' provides unlimited GPT-4o usage along with Enterprise Key Management (EKM), while Google's 'Gemini Enterprise' leverages Google Workspace's existing security layers to securely integrate search and analysis capabilities within corporate data.
Confusing terms
Individual/Pro
A high-level tier for individual use; while rich in features, it may lack centralized management tools and guarantees against data training.
Team/Business
A tier designed for small-team collaboration that provides shared workspaces, but often excludes SSO or advanced security audit features.