Our approach
The components behind a private AI environment, and the choices that determine how it runs.
How it fits together
A private AI environment brings approved information, a knowledge workspace, and a selected model together.
The configuration defines where information is stored, what reaches the model, and who can use the system.
Selected manuals, policies, and other reference material provide the knowledge for the workspace.
The workspace indexes the material for search and retrieves relevant excerpts to accompany a question.
A model uses the question and supplied context to produce a response. Source material remains available for review.
This is a simplified flow. Storage, indexing, access, backups, and model connections are arranged for each deployment. Hosting a workspace in Canada does not by itself mean its model calls stay in Canada.
Where the system runs
The configuration work
The work extends beyond installing a model.
Workspace setup covers document preparation and retrieval, user access, model selection, and the flow of information between components. Testing, operating notes, and handover make those choices understandable to the people using and maintaining the system.
Canadian privacy requirements depend on the organization, province, sector, and information involved. Residency is one consideration alongside provider access, jurisdiction, external dependencies, and the organization’s own policies.
Questions about the approach?
