Private ChatGPT for business
Plan a controlled AI assistant around approved company knowledge, access rules, and internal workflows so teams can ask better questions without relying on a generic public chat flow.
What does the onboarding playbook say about enterprise data access?
Enterprise workspaces require approved sources, role mapping, and a documented escalation path before launch.
Source: Client Onboarding Playbook v4 · pg 3
Why teams use it
Deployed around your infrastructure and access model. Prompts and documents are scoped around approved systems, not generic public workflows.
Answers cite the playbooks, contracts, policies, and docs you approve — with sources shown so teams can verify instead of guessing.
Role-based channels per team: sales sees sales, finance sees finance. Shared where useful, walled where it matters.
Data boundaries
Private ChatGPT for business is a planning and implementation engagement, not a generic chatbot install. We define sources, access, escalation, and ownership before the assistant reaches employees.
Read the Private GPT case study →We connect the systems and documents you sign off on — nothing is ingested by default.
Permissions mirror your org: by role, team, or individual. Audit trails are planned into the workflow.
Deployment is scoped to the security review: private cloud or your own environment where required.
The assistant, its knowledge base, and its configuration are deliverables — not a black-box subscription you rent.
Private AI, scoped first
Bring a sample knowledge workflow, and we will show how sources, permissions, and escalation rules would be scoped before launch.