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ChatGPT Enterprise vs IBM watsonx Assistant

Compare up to four tools by their main job, cost, setup requirements, and data security. Choose two to four tools below.

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Enterprise AI Assistants and Workspaces

Costs are planning estimates, not vendor quotes. See the assumptions below.

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OpenAI
97TriVista score

ChatGPT Enterprise

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

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Compare
ChatGPT Enterprise97 TriVista score
IBM watsonx Assistant73 TriVista score
Category rank
#1
#10
Research confidence
Strong support
Strong support

Cost

Tool
ChatGPT Enterprise97 TriVista score
IBM watsonx Assistant73 TriVista score
Plans and pricing
Enterprise. Quote required; planning allowance
Enterprise conversational assistant platform. Public catalog reference; verify billing period, region, and configuration
First year
$40KBase estimateLow $26.5K · High $61.4K
$144.5KBase estimateLow $96.9K · High $219.7K
Per user or unit
$2KBase estimateLow $1.3K · High $3.1KPer enabled user, first year
$144.5KBase estimateLow $96.9K · High $219.7KPer production assistant instance, first year
Three years
$91.6KBase estimateLow $62.7K · High $136.6K
$357.5KBase estimateLow $247K · High $527K
Cost 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.
Based on 1 production assistant instance. Pricing model: Per instance plus active users/resource units. Confirm the vendor’s billing unit and current price or quote before budgeting.

Setup and security

Tool
ChatGPT Enterprise97 TriVista score
IBM watsonx Assistant73 TriVista score
Setup requirements
Confirm company sign-in, device support, workspace setup, approved connections, data rules, and data location.
IBM Cloud account, region choice, assistant instance, integrations/API design, skills and content, deployment channel, governance, and potential implementation support.
Data and security
Check how the vendor uses your data, how long it keeps it, who can access it, and where it is handled.
Validate IBM Cloud region, IAM, private endpoints, data isolation, chat-log handling, activity tracking, compliance scope, retention, and what your team must manage.
Recommended next step
Confirm the workflow, owner, data access, controls, price, and success measure before choosing it
Complete the required permissions, governance, and data-quality review before a narrow pilot
Before you choose

Test the shortlisted tools on the same task with the same success criteria. Confirm current pricing, data terms, and setup requirements, and resolve any research holds before approving a pilot. Scores rank tools within their own category, not across all tools.

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