Private GPT

· 6 min read

What Does a Private AI Assistant Cost? A Scope Guide

The factors that shape a private AI proposal: users, data sources, permissions, integrations, deployment requirements, and ongoing support.

There is no responsible single price for every private AI deployment. A document assistant for one team and a multi-department deployment with identity controls and custom integrations are different projects. This guide explains the inputs that shape a proposal so you know what to prepare before a pricing conversation.

Start with the deployment scope

The proposal should reflect who will use the assistant, which approved data sources it will connect to, how access will be controlled, what integrations or workflows are required, where it will run, and what ongoing support your team expects. Those requirements define the work more accurately than a headline seat price.

What implementation work may be required

Implementation can include environment provisioning, identity and access configuration, document indexing, system connections, workflow setup, branding, testing, onboarding, and security review support. A proposal should name which of those items are included for your deployment.

What drives cost up, and what does not

  • Team scope: the number and types of users, workspaces, and permission boundaries
  • Data scope: the systems, document collections, and refresh requirements involved
  • Technical scope: identity, integrations, workflows, deployment environment, and security review
  • Operating scope: onboarding, maintenance, optimization, and user support after launch

Compare the full operating requirements

A public chat subscription and a managed private deployment do not include the same things. Compare the environment, connected data, permissions, integrations, model access, administration, maintenance, and support required for your use case. That produces a decision you can defend without relying on speculative savings or payback claims.

The cost of doing nothing

The alternative to a sanctioned tool may be untracked usage on personal accounts. Confidentiality exposure, weak answers on security reviews, and company information left in former employees' accounts are risks leadership should include in the decision even when they do not appear on a software invoice.

Book a meeting to review your actual team, data sources, permissions, integrations, and support needs. Once those requirements are clear, a scoped proposal can be prepared for you to evaluate.

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