Accelerate recruiting and hiring
Organize candidate information, prepare job descriptions, and support recruiting workflows.
A workplace AI assistant that helps staff write, research, and analyze data, kept private and never used to train the model.
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.
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.
Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.
Organize candidate information, prepare job descriptions, and support recruiting workflows.
Turn approved content and customer requirements into proposal drafts for your sales team.
Prepare reports, proposals, and other everyday documents.
Bring key business metrics together in dashboards and summaries for leadership.
Find relevant answers, route requests, and help service teams respond to customers sooner.
Explore external sources to support business decisions.
Explore assistants that help with routine work across business applications.
The industries and leadership roles this tool is most often matched with.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| 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 |
| Component | Low | Base | High |
|---|---|---|---|
| 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.
Confirm company sign-in, device support, workspace setup, approved connections, data rules, and data location.
Confirm the workflow, owner, data access, controls, price, and success measure before choosing it
Run one controlled pilot with baseline metrics, approved data boundaries, acceptance tests, spend controls, and rollback criteria.
Define what success looks like for a test of ChatGPT Enterprise and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Check how the vendor uses your data, how long it keeps it, who can access it, and where it is handled.
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.
Run one controlled pilot with baseline metrics, approved data boundaries, acceptance tests, spend controls, and rollback criteria.
Anthropic
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Research observations recorded: 2. Evidence quality: Strong support.
Recorded score and category rank across research updates.
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