AI models and agent platforms · Enterprise AI assistants
ChatGPT Enterprise
The most widely adopted general AI assistant, with enterprise admin, residency and compliance controls.
Our pick for enterprise ai assistants- Vendor
- OpenAI
- Pricing model
- Per seat, negotiated annually. Some advanced features and coding seats are billed on usage.
- Runs on
- OpenAI cloud, with regional data residency
- Agentic OS layer
- Agents
- Industries
- Any industry
- Last reviewed
- November 2026
Our verdict
The safest default for a company-wide assistant. People already know it, the admin and residency story is mature, and the model range is broad. What you pay for over the self-serve Business plan is mostly governance, so make sure you need it.
What it is
ChatGPT Enterprise is the top tier of OpenAI's ChatGPT for work. Employees get the same ChatGPT they know from home, with OpenAI's current flagship models, file analysis, deep research, custom GPTs, projects and connectors into tools such as Google Drive, SharePoint and GitHub.
The Enterprise tier adds what IT, security and legal teams ask for: SSO and SCIM provisioning, role-based access, audit logs and a compliance API, enterprise key management, custom data retention and data residency. OpenAI does not train its models on business data by default. For building and governing agents at scale, OpenAI sells a separate platform, Frontier, launched in February 2026.
Best for
Large organisations rolling out one assistant to most employees, especially where many people already use ChatGPT on their own and you want that use brought under governance.
Not the right fit
Small teams without compliance needs; the self-serve Business plan covers most of what they use. Also not the right place to run back-office agents that must act inside your ERP or CRM; that is platform work.
Key capabilities
Flagship models
Access to OpenAI's newest models, with faster and reasoning variants chosen automatically or by the user.
Connectors and search
Search and answer across connected sources such as Google Drive, SharePoint, Box and GitHub, respecting the user's permissions.
Custom GPTs and projects
Teams package instructions, files and actions into reusable assistants and shared workspaces.
Deep research and data analysis
Multi-step web and file research, spreadsheet analysis and charting inside the chat.
Admin and compliance
SCIM, RBAC, audit logs, a compliance API for eDiscovery and DLP tools, and analytics on adoption.
Data residency
Data at rest can be kept in one of ten regions: the US, EU, UK, Japan, Canada, South Korea, Singapore, Australia, India or the UAE.
Strengths
- Lowest training cost: most employees already know the interface
- Mature residency, key management and compliance tooling
- Broad model range, from fast answers to deep reasoning
- Large ecosystem of custom GPTs, connectors and integrations
Watch-outs
- Enterprise pricing is not published and minimum seat counts are reported to be high
- Connectors answer questions well but rarely take governed actions in core systems
- Some newer features land on usage billing, which makes total cost harder to forecast
- Storage residency and inference residency are separate settings; check both for regulated data
Pricing
OpenAI does not publish Enterprise pricing; it is negotiated on seat count, term and features. Industry reports put typical deals around $60 per seat per month with a minimum of about 150 seats, but treat that as a starting point for negotiation, not a list price.
The self-serve Business plan is $20 per seat per month billed annually ($25 monthly), with a two-seat minimum. Since April 2026, OpenAI also bills some advanced features and a coding seat type on usage. Nonprofits can get up to 75% off.
Checked November 2026. Vendors change plans often, so confirm current pricing with OpenAI before you budget.
Security and governance
SSO, SCIM and role-based access control; audit logs and a compliance API; enterprise key management; custom retention; data residency in ten regions; a HIPAA Business Associate Agreement for eligible customers. Business data is not used for training by default.
How we would roll it out
- Start with policy and identityConnect SSO and SCIM, set retention and residency, and decide which connectors are on before anyone logs in.
- Pilot with three teamsPick teams with clear, repeated work, such as finance close, proposal writing or support macros, and measure time saved.
- Build shared GPTs, not one-offsTurn the prompts that work into maintained, owned custom GPTs with named owners and review dates.
- Hand actions to a platformWhen a use case needs to write into ERP or CRM, move it to an agent platform with approvals and logs.
Compare with
Other tools in AI models and agent platforms, closest match first.
Claude Enterprise
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Best for Teams that work with long documents, write a lot, or want coding and desktop agents in the same seat.
Gemini Enterprise
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Google's agent platform for every employee: enterprise search, prebuilt agents and a no-code agent builder.
Best for Google Workspace organisations that want search and agents across company data.
Microsoft Copilot Studio
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Low-code agent builder for Microsoft 365, Teams, Dynamics and Power Platform, billed on Copilot Credits.
Best for Microsoft 365 organisations building internal and customer-facing agents.
Amazon Bedrock AgentCore
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Modular AWS services to run, connect, secure and observe production agents, with any framework or model.
Best for Engineering teams running production agents inside AWS.
LangGraph and LangSmith
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Open-source framework for controllable, stateful agents, with LangSmith for tracing, evaluation and deployment.
Best for Engineering teams that want full control of agent logic and to stay cloud-neutral.
Choosing between ChatGPT Enterprise and the alternatives?
Book a call. We look at your systems, data and governance together and tell you which platform fits, and what to build on it first.