ChatGPT Enterprise

AI tool profile ·

A workplace AI assistant that helps staff write, research, and analyze data, kept private and never used to train the model.

97TriVista score
Category rank#1 in Enterprise AI Assistants and Workspaces
Baseline ELO1,629.4
At a glance
What it does

ChatGPT Enterprise is an AI assistant that employees chat with to get help on everyday work. Type a question or a task in plain language, and it writes drafts, summarizes long documents, explains a spreadsheet, answers questions using the company's own files, and can even write code. Unlike the free, personal version of ChatGPT, this one is set up and controlled by the company: IT decides who can log in, what data the assistant can see, and which other apps it can connect to, like SharePoint or Google Drive. Teams can also save their own preset instructions, called custom GPTs, for tasks they repeat often. OpenAI, the company behind it, says it does not use this data to train its models, and the plan carries independent security certifications, with a HIPAA agreement available for healthcare customers.

Where it can help

This fits a company that wants one well-managed AI assistant available to most employees, instead of staff using free AI tools on their own with no oversight. It's useful for everyday work: drafting emails and reports, summarizing meeting notes, researching a topic, or making sense of a spreadsheet before a meeting. It doesn't require any technical setup for a normal user, just a login. Enterprise pricing and seat commitments require a quote from OpenAI. Smaller teams can also compare ChatGPT Business. The cost guide below models a 20-user planning scenario, not a confirmed Enterprise package or offer. Start with two or three teams, name one person to own the rollout, and set clear rules for what information employees can paste into it. The main risks: staff trusting a wrong answer without double-checking it, and app connections exposing more company data than intended.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
96.6
Category rank
#1
Baseline ELO
1,629.4

Compare within the category

This tool is ranked in Enterprise AI Assistants and Workspaces. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer and review signals are included.
  • The starting rating includes a product-specific comparison.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Business Goals

Business goals to explore

Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.

How your company could affect the fit

How one company factor at a time moves the modeled score. The published score is unchanged.

Industry Automotive and transportation Modeled score93.1 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,608.3 Change from baseline -25.9 ELO
Industry Food and beverage Modeled score94.4 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,616.2 Change from baseline -18.0 ELO
Industry Industrial manufacturing Modeled score94.5 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,616.8 Change from baseline -17.5 ELO
Industry Energy and utilities Modeled score94.5 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,617.0 Change from baseline -17.2 ELO
Industry Financial and professional services Modeled score95.1 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,620.4 Change from baseline -13.9 ELO
Revenue Band $500M-$2B Modeled score99.5 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,647.1 Change from baseline +12.9 ELO
Revenue Band Over $2B Modeled score99.4 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,646.7 Change from baseline +12.4 ELO
Industry Construction and real estate Modeled score95.4 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,622.3 Change from baseline -11.9 ELO
Industry Technology and telecommunications Modeled score95.7 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,624.0 Change from baseline -10.3 ELO
Company Type Business services Modeled score98.8 / 100 Modeled category rank#1
Baseline Manufacturing Adjusted ELO 1,642.7 Change from baseline +8.5 ELO
Industry Healthcare and life sciences Modeled score96.0 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,625.9 Change from baseline -8.4 ELO
Revenue Band $100M-$500M Modeled score98.7 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,642.0 Change from baseline +7.7 ELO
Technology Maturity Low Modeled score96.6 / 100 Modeled category rank#1
Baseline Moderate Adjusted ELO 1,629.6 Change from baseline -4.6 ELO
Technology Maturity High Modeled score96.8 / 100 Modeled category rank#1
Baseline Moderate Adjusted ELO 1,630.8 Change from baseline -3.5 ELO
Industry Retail and distribution Modeled score96.9 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,631.3 Change from baseline -2.9 ELO
Revenue Band Under $25M Modeled score97.0 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,632.1 Change from baseline -2.1 ELO
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: enabled user.
Cost measureLowBaseHigh
First-year total$26.5K$40K$61.4K
Three-year total$62.7K$91.6K$136.6K
First-year cost per unit$1.3K$2K$3.1K
Average annual cost per unit (over three years)$1K$1.5K$2.3K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$10.8K$14.4K$19.4K
Implementation$2.5K$4.1K$7K
Integration$2.7K$5K$9K
Staff time and change management$3.6K$5.1K$7.2K
Security$2K$2.9K$4.4K
Administration$2.6K$3.4K$4.7K
Support$1K$1.4K$1.8K

Estimate assumptions: Based on 20 enabled users. Pricing model: Per user plus flexible usage credits. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm company sign-in, device support, workspace setup, approved connections, data rules, and data location.

How to startSet clear limits

Confirm the workflow, owner, data access, controls, price, and success measure before choosing it

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Run one controlled pilot with baseline metrics, approved data boundaries, acceptance tests, spend controls, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of ChatGPT Enterprise and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Check how the vendor uses your data, how long it keeps it, who can access it, and where it is handled.

Exit and rollback

Export conversation history, prompts, custom assistants, connector settings, evaluations, usage records, and activity records from ChatGPT Enterprise. The main switching cost is rebuilding private knowledge, tool permissions, and accepted workflows; revoke connectors and service identities and obtain deletion confirmation.

Recommended next step

Run one controlled pilot with baseline metrics, approved data boundaries, acceptance tests, spend controls, and rollback criteria.

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Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Official product information openai.com/business Read official information →
Official product information chatgpt.com/business/enterprise Read official information →
Official product information chatgpt.com/pricing View pricing details →
Official product information openai.com/business-data Read official information →
Official product information openai.com/security-and-privacy Read official information →
Reference source g2.com/products/chatgpt/reviews View source →

Research observations recorded: 2. Evidence quality: Strong support.

Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 96.6/100
    Category rank #1
  • Research release
    TriVista Score 96.6/100
    Category rank #1

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