ChatGPT
by OpenAI
OpenAI's assistant, from free chat to a governed enterprise workspace
ChatGPT is OpenAI's conversational AI assistant and, through its Business and Enterprise tiers, a governed workspace for deploying frontier models across an organisation. It combines chat, voice, image generation, Deep Research and an agentic mode with admin controls, SSO, audit logs and permission-aware connectors to internal document stores, removing the need for every team to build its own assistant.
ChatGPT is OpenAI's conversational AI assistant, released 30 November 2022 and now the most widely used AI product in the world, reaching 900 million weekly active users by February 2026. It exposes OpenAI's frontier models — GPT-5.5 and GPT-5.6 as of mid-2026, with GPT-4.5, o3 and GPT-5 retired on OpenAI's own schedule — through a chat interface, voice mode, image generation, Deep Research and an agentic Agent mode that browses and executes multi-step tasks. For organisations the relevant products are ChatGPT Business and ChatGPT Enterprise rather than the consumer tiers. Both add an admin console, SAML SSO, SCIM provisioning, role-based access control, audit logging and a contractual commitment that business data is not used to train OpenAI models by default. Enterprise adds a HIPAA business associate agreement on request, Enterprise Key Management, US or EU data residency, a Compliance API, priority access to new models and no per-user message caps. Company knowledge connectors — SharePoint, Google Drive, Dropbox, Box, Teams, Gmail, Slack, GitHub and Linear — let answers cite internal documents while respecting source-system permissions; OpenAI began renaming connectors to apps in December 2025. The commercial shape is unusual: Business is self-serve at $20–25 per seat with a two-seat minimum, while Enterprise is quote-only, typically $45–75 per seat per month with a reported 150-seat minimum and annual prepayment, putting the practical entry point near $108,000 a year. Enterprise now accounts for more than half of OpenAI's revenue, which passed a $40 billion annualised run rate in 2026.
The CIO or IT leader rolling out a single sanctioned AI assistant to a large workforce, who needs SSO, SCIM, audit logs and a no-training-on-our-data contract more than they need a custom-built application.
One governed, identity-managed assistant that most employees already know how to use, grounded in company documents with permission-aware citations.
At a Glance
- Category
- AI Models & APIs
- Pricing
- Freemium, Subscription, Contact for pricing
- Target Market
- CIOs, CTOs, Enterprise Developers, Knowledge Workers, Data Scientists
- Deployment
- Cloud-only, API-based
- Founded
- 2022
- Headquarters
- San Francisco, United States
- Team Size
- 500+
- Customers
- 3M+ paying business users across Enterprise, Team and Edu plans (CNBC, reported via DemandSage)
Key Features
- ✓Company knowledge connectors
Syncs SharePoint, Google Drive, Dropbox, Box, Teams, Gmail, Slack, GitHub and Linear so answers cite internal documents while honouring each source system's existing permissions.
- ✓Admin console with SSO and SCIM
Centralised workspace administration with SAML single sign-on, SCIM provisioning, role-based access control and department-level usage analytics for IT owners.
- ✓Agent mode and Deep Research
Runs multi-step browsing and analysis tasks autonomously, returning cited research reports rather than a single-turn answer, which is what most analyst work actually needs.
- ✓Enterprise data controls
Business data is excluded from model training by default, with AES-256 encryption at rest, TLS 1.2+ in transit, audit logs and configurable retention.
- ✓Enterprise Key Management and data residency
Customer-managed encryption keys plus US or EU data residency options for regulated buyers, though enabling EKM turns off the synced connectors.
- ✓Custom GPTs and shared workspace assets
Teams publish org-wide custom GPTs and shared prompt templates so a working configuration spreads instead of being rebuilt by every department.
Capabilities
Use Cases
- •Sanctioned assistant rollout
IT replaces unmanaged personal ChatGPT accounts with an SSO-governed workspace, regaining visibility over what corporate data employees are pasting into an AI tool.
- •Internal knowledge retrieval
Employees ask policy, product or process questions and receive answers cited to the SharePoint and Drive documents they are already permitted to open.
- •Contract and document triage
Legal and procurement teams summarise long agreements and flag clause deviations for human review, cutting first-pass reading time on routine paperwork.
- •Research and competitive briefings
Strategy teams use Deep Research to compile multi-source market briefings with inline citations, replacing several hours of manual tab-by-tab searching.
- •Engineering assistance through Codex
Developers delegate test generation, refactors and code review passes to Codex agents, billed from a usage pool above the included baseline.
Ideal For
Best For
- ✓Standardising a single sanctioned AI assistant across a large workforce instead of tolerating shadow ChatGPT Plus accounts
- ✓Grounding answers in internal SharePoint, Google Drive, Box or Slack content with permission-aware citations
- ✓Ad-hoc analyst work — document summarisation, contract review drafts, spreadsheet and slide generation
- ✓Deep Research reports that need multi-source web synthesis with inline citations
- ✓Developer-adjacent workflows via Codex agents for code review, test generation and refactors
Not Ideal For
- ✗Organisations under roughly 150 employees — the Enterprise seat minimum forces significant over-buying, and the Business tier at $20–25/seat covers nearly the same feature set
- ✗Teams whose systems of record are Salesforce, Jira, Confluence, ServiceNow or Asana — there is no native connector, and custom integration work is commonly quoted at $10,000–$50,000+
- ✗Compliance programmes that require Enterprise Key Management, because enabling EKM disables the synced app connectors that justify the platform
- ✗Workflows that must take actions in downstream systems with an auditable trail — ChatGPT drafts and reasons, but does not close the Jira ticket or update the CRM record
Integrations
Deployment
Market & Ratings
3M+ paying business users across Enterprise, Team and Edu plans (CNBC, reported via DemandSage)
Market Analysis
Pros
- ✓Rated 4.7/5 on G2 across 1,000+ verified reviews, with reviewers repeatedly citing breadth — coding, analysis, writing and research in one tool — and a very low learning curve
- ✓Enterprise data handling is the feature that closes procurement: no training on business data by default, SOC 2 Type II, audit logs, and US or EU data residency
- ✓Connectors ground answers in internal systems while respecting existing permissions, so retrieval does not become a data-leak vector
- ✓Near-zero change management cost because staff already know the interface
Cons
- ✗Hallucinations persist even on the newest models — roughly 5% of G2 reviews cite accuracy problems, and reviewers report the memory feature retains preferences inconsistently
- ✗The ~150-seat Enterprise minimum and annual prepay force mid-market buyers to over-purchase before proving any ROI; r/sysadmin threads treat the Business tier as the pragmatic escape hatch
- ✗Enabling Enterprise Key Management disables all synced app connectors, so the strictest compliance posture removes the platform's main enterprise feature
- ✗No native connectors for Salesforce, Jira, Confluence, ServiceNow or Asana, and custom integrations are commonly quoted at $10,000-$50,000+
- ✗OpenAI retires models on its own schedule — several were retired in February 2026 — which breaks prompts and workflows tuned to a specific version
Pricing
Free
$0
- ✓Capped access to the flagship model
- ✓Ad-supported
Go
From $8/mo
- ✓Higher message caps than Free
- ✓Ad-supported
- ✓No Agent mode
Plus
From $20/mo
- ✓Agent mode
- ✓Image and voice tools
- ✓Ad-free
- ✓Rolling message caps
Pro
From $200/mo
- ✓Effectively unlimited flagship access
- ✓Priority compute
- ✓Agent mode
Business
From $20/mo
- ✓$20/seat annual or $25/seat monthly
- ✓2-seat minimum
- ✓Admin console
- ✓No training on business data by default
- ✓Agent mode
Enterprise
Contact for pricing
- ✓Reported $45-75/seat/mo, annual prepay
- ✓~150-seat minimum
- ✓SSO and SCIM
- ✓HIPAA BAA on request
- ✓Enterprise Key Management
- ✓US or EU data residency
- ✓Compliance API
Business is self-serve at $20/seat/month billed annually or $25 monthly with a two-seat minimum, and OpenAI cut that by $5 in April 2026. Enterprise publishes no list price at all: 2026 procurement reporting converges on $45-75 per seat per month, around $60 typical, with a reported 150-seat minimum and annual prepayment — a practical floor near $108,000 a year even if only fifty people need it. Volume discounts of roughly 10-25% are reported above 300 and 500 seats, with a further 5-15% for multi-year terms. Budget separately for Codex consumption above the included baseline, which is hard to forecast without pilot data, and for custom integrations to systems with no native connector, commonly $10,000-$50,000+. There is no free trial of Enterprise; Business is the closest self-serve path.
Security & Compliance
Connect
Sources
This page was written from 11 sources, 11 on domains other than chatgpt.com.
- 1.en.wikipedia.org — ChatGPT
- 2.sacra.com — openai
- 3.learn.g2.com — chatgpt review
- 4.inference.net — chatgpt enterprise pricing
- 5.gosearch.ai — chatgpt enterprise pricing explained cost tiers hidden fees
- 6.layer3labs.io — chatgpt pricing
- 7.eesel.ai — chatgpt enterprise
- 8.explodingtopics.com — chatgpt enterprise
- 9.softkraft.co — chatgpt enterprise
- 10.demandsage.com — chatgpt statistics
- 11.hn.algolia.com — hn.algolia.com
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