ChatGPT Enterprise your security team signs off on.

We roll it out the way we run your cloud: identity, audit and governance from day one, plus an adoption plan so every license gets used.

In-house cybersecurity: we review risk, data and compliance before opening access.

In-house cloud: we connect ChatGPT to your systems on AWS, Azure or Google Cloud.

Spend control: we measure usage by department and adjust licenses every quarter.

  • Security and compliance review.
  • SSO and user provisioning (SCIM).
  • Roles and audit.
  • Connectors to your internal knowledge.
  • GPT catalog by department.
  • Internal champions program.
  • Adoption dashboard.
  • Role-based training.

Week 1:

security, identity and policies.

Week 2:

connectors, GPTs and pilot group.

Weeks 3 to 4:

rollout by department, champions and training.

After:

quarterly adoption and license review.

Cost-effective

Licenses adjusted every quarter to real usage, industry programs and volume pricing when it applies.

Built to last

Identity, audit and governance from day one.

[ Next step ]

Once your team uses ChatGPT, the forward deployed engineer comes next.

The best use cases show up in the first weeks. An iNBest engineer turns them into agents connected to your systems.

Request a forward deployed engineer ->

FAQ

Can it meet healthcare requirements?

ChatGPT Enterprise offers compliance options that Business does not. We review your case and configure it with you.

When does Enterprise make sense over Business?

When you need SSO/SCIM, audit, data residency or have many users. We show you the numbers in the first meeting.

Who signs the contract?

Your company, with OpenAI. iNBest co-sells and helps you review programs, volume pricing and license count.

Quote your Enterprise rollout. We help with the cost of your licenses.

Tell us what you want to achieve. An engineer reviews your context and proposes the next step in your first meeting.

Quote your AI project

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