How to build internal AI tools with your data while meeting Canadian privacy obligations.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Building an internal AI tool on your own data — a knowledge assistant, a drafting helper, a triage bot — is a common high-value project. Here is how to do it while meeting Canadian privacy obligations.
Decide what to build
Pick a tool that solves a real internal pain: searching company knowledge, drafting standard documents, or triaging requests. Ground it in your own data so it is specific to your business.
Handle data properly
Internal tools touch company and sometimes personal data, so apply PIPEDA and (in Quebec) Law 25, control access, and decide residency. Sensitive data favours a self-hosted or Canadian-region setup.
Build to last
osFoundry is a model-agnostic, bring-your-own-key (BYOK) AI orchestration platform — usage-based pricing with no per-seat fees, local-first and self-hostable, with per-region data pinning (US/EU/JP) or deployment into your own cloud. Building on a model-agnostic layer means you can swap models as they improve without rebuilding. osFoundry’s managed cloud pins data to US, EU or Japan — it does not currently offer a Canadian managed region. For data that must stay in Canada, the honest path is self-hosting osFoundry (BYO Cloud) inside a Canadian cloud region such as AWS Canada (Montréal/Calgary), Azure (Toronto/Quebec City) or Google Cloud (Montréal), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Canadian businesses adopt osFoundry — scoping a first use case, handling the build, and connecting AI to the systems you already run. dgm is independent of osFoundry’s maker (OS LLC) and has no completed client integrations yet, so everything described here is a service offered, not a past result. If you want to scope a practical first project, dgm can help you map it out.