How to make your company’s documents searchable in natural language with AI.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Making your documents searchable in natural language is one of the most immediately useful AI projects. Here is how AI document search works and how to deploy it in Canada.
How it works
AI document search indexes your files and lets people ask questions in plain language, returning relevant passages with sources — far faster than keyword search through folders.
Deploying it
Connect your document sources, index them, and set access controls so people only see what they are allowed to. Start with one high-value document set.
Privacy and residency
Documents often contain personal or confidential information, so apply PIPEDA and Law 25 and decide where indexing happens. 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.