Private AI pricing
A real quote starts with a real deployment scope
Private AI pricing depends on your team, approved information, access controls, integrations, deployment environment, and support. We review those requirements first, then prepare a proposal for the deployment you actually need.
What shapes your proposal
These are the inputs we review with you before discussing price.
Team and access
Who will use the assistant, which groups need separate permissions, and whether clients or partners need access.
Data sources
The approved documents and systems the assistant should use, such as SharePoint, Google Drive, a CRM, or file shares.
Security requirements
Identity, role based access, audit needs, data residency, and any review your legal or security team requires.
Workflows and integrations
The repeatable work you want to support and any systems the assistant needs to read from or write to.
Deployment environment
Your cloud architecture, domain, branding, and the technical boundaries the deployment must respect.
Ongoing support
The level of onboarding, maintenance, optimization, and user support your team wants after launch.
What happens after you book
The process is designed to make the proposal understandable and tied to your actual requirements.
Map the use case
We start with the work your team wants to improve, the people involved, and the information the assistant may use.
Review the requirements
Together we identify the data connections, permissions, security review, integrations, and support needed for a responsible deployment.
Receive a scoped proposal
After the requirements are clear, we provide a proposal tied to the deployment discussed instead of publishing a guess that may not fit.
Need context before booking? Review the published K3 case study, how deployment works, the security architecture, or the managed-service scope, or see how the same factors apply to private AI for accounting firms.
Pricing questions
How much does Private GPT cost?
Pricing depends on your team, approved data sources, access controls, integrations, deployment environment, and support needs. Book a meeting and we will talk through those requirements before preparing a scoped proposal.
Why is there no public price list?
A simple document assistant and a multi-team deployment with identity controls and custom integrations are different projects. Publishing one number before understanding the requirements would be misleading, so we price the deployment after the scope is clear.
What should we bring to the pricing conversation?
Bring the workflow you want to improve, the number and types of users involved, where the relevant information lives, and any security or compliance requirements you already know about.
Can we start with one workflow?
Yes. A focused first use case is often the clearest way to validate the data, permissions, and user experience before expanding the deployment.
Does the proposal include ongoing support?
The proposal will state what deployment, onboarding, maintenance, and support are included for your scope so you can review the full operating picture before deciding.
Talk through your scope and pricing
Book a meeting to review your team, data sources, controls, and workflows. We will use that conversation to prepare a proposal you can evaluate clearly.