Check your data, team and infrastructure readiness before starting an AI project.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Before starting an AI project, a quick readiness check saves wasted effort. Here are the data, team and infrastructure questions to answer first.
| Item | Detail |
|---|---|
| Use case | Is there a clear, measurable problem? |
| Data | Is the needed data accessible and reasonable quality? |
| Team | Who owns the project and the outputs? |
| Compliance | Privacy and residency considered? |
Data readiness
AI needs accessible, reasonable-quality data for the target task — not perfect data for everything. Check that the specific data your use case needs exists and is reachable.
Team and ownership
Decide who owns the project, who reviews AI outputs, and who maintains it. A project with no owner stalls regardless of technology.
Compliance readiness
Confirm privacy obligations (PIPEDA, Quebec Law 25) and residency needs up front, not after building. 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.