Every major AI provider sells a business version of its product. The pitch pages blur together — collaboration, security, productivity — so it is worth being precise about what the business tiers actually change, because it is mostly not the AI. The models are the same ones individuals use. What changes is everything around them.

What a business plan actually buys

Across providers, the business tiers cluster around the same four upgrades:

  • A data commitment in writing. The headline item. Business plans contractually commit that your organization's conversations and files are not used to train the provider's models. On consumer plans this is typically an opt-out setting at best; on business plans it is a term of the contract.
  • Admin control. A console where the company manages who has access, provisions and removes seats, and sets organization-wide settings. When someone leaves, their access ends and their work does not walk out the door with them.
  • Identity and access. Single sign-on through your existing identity provider on the higher tiers, so AI access follows the same rules as everything else — including offboarding.
  • Centralized billing. One invoice instead of a drawer of expensed personal subscriptions, which is also the moment the company can finally see how much AI it is actually using.

Team-level plans typically bundle the data commitment, admin basics, and shared workspaces at a self-serve, per-seat price. Enterprise tiers add SSO, compliance certifications, audit logs, and custom contracts — sold through sales conversations rather than a checkout page.

The main options

Four product families cover the overwhelming majority of workplace deployments:

  • Claude — Anthropic's Team plan is the self-serve workspace tier; Enterprise adds SSO, audit, and compliance features. Notable for long-document work and for including [Claude Code](/work/cli-coding-agents/), Anthropic's coding agent, within its plans.
  • ChatGPT — OpenAI's Business plan is the self-serve tier, with Enterprise above it for larger deployments. The broadest consumer familiarity, which matters more than it sounds: training goes faster when half the team already knows the product.
  • Gemini through Google Workspace — Google folds Gemini into Workspace plans rather than selling it primarily as a standalone seat, so if your company runs on Gmail, Docs, and Sheets, you may already be paying for AI where your documents already live.
  • Microsoft 365 Copilot — the equivalent play for Microsoft shops: AI inside Word, Excel, Outlook, and Teams, as an add-on to the Microsoft 365 subscription the company likely already has.

As a shape rather than a quote: self-serve team tiers from the standalone providers have settled around the mid-twenties of dollars per seat per month, with enterprise tiers custom-priced above that. Treat every number as stale until you have checked the provider's current page — pricing and packaging in this market change often enough that any figure printed here would be a snapshot, not a fact.

Check what you already pay for

The cheapest business AI plan is frequently the one already inside a subscription you have. Before evaluating anything new, answer three questions:

  • Does your Microsoft 365 or Google Workspace plan already include AI features, or offer them as an add-on?
  • Does any team already expense individual AI subscriptions that a team plan would consolidate — usually at similar or lower cost per person?
  • Do your developers already use [coding tools](/work/cli-coding-agents/) whose subscriptions overlap with a chat product you are about to buy?

None of this means the bundled option wins. A suite's built-in AI and a frontier lab's dedicated product are different tools, and plenty of companies deliberately run both. But you should know what you own before you shop.

Running the decision

For most small and mid-sized organizations, this does not deserve a six-month evaluation:

  • Let real usage vote. If shadow use already leans heavily toward one product, adopting its business tier means rolling out something people already like — the rarest luxury in workplace software.
  • Pilot one team for a month on the self-serve tier. Self-serve means you can start this week and cancel if it disappoints; no procurement required.
  • Send security the trust page, not marketing. Each provider maintains documentation of its data handling, retention, and compliance certifications. That page, plus the data-commitment language, is what your security review actually needs.
  • Buy the tier you need now. Enterprise features matter when you have the headcount and compliance obligations that require them. Growing into a bigger contract later is a routine sales conversation, not a migration.

One caution from the other direction: consolidation has quiet costs. Assigning everyone the suite's built-in AI because it is administratively tidy can leave your heaviest users — often developers and analysts — with a noticeably weaker tool than the one they were quietly paying for themselves. If the [rollout](/work/rolling-out-ai/) matters, fit beats tidiness.

The decision, compressed: confirm what you already own, pilot the product your people already prefer, insist on the written data commitment, and keep the first contract small enough to change your mind.