How to build an internal AI chatbot over company knowledge while keeping data onshore.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
An internal AI chatbot over your company knowledge is one of the highest-value first AI projects. Here is how to build one in Australia while keeping data controlled.
What it does
An internal chatbot answers staff questions from your own documents — policies, procedures, product information — grounded in your content so answers are specific and can cite sources.
Building it
Use retrieval (RAG) over your knowledge base with the model you choose, control access, and decide residency. Start with one well-defined knowledge set rather than indexing everything.
Keeping it controlled
Internal chatbots ingest company and sometimes personal data, so apply the Privacy Act and keep data onshore for sensitive content. osFoundry’s managed cloud pins data to the US, EU or Japan — it does not currently offer an Australian managed region. For data that must stay in Australia, the honest path is self-hosting osFoundry (BYO Cloud) inside an Australian cloud region such as AWS (Sydney or Melbourne), Microsoft Azure (Australia East, Australia Southeast or Australia Central in Canberra) or Google Cloud (Sydney or Melbourne), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Australian 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.