How to create a practical staff AI-use policy, including PDPO and the DPO guideline considerations.
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-use policy keeps staff productive with AI while protecting the business. Here is how to write a practical one for a Hong Kong organisation.
What a good policy covers
Which tools are approved, what data may and may not be put into them (especially personal and confidential data under the PDPO), when human review is required, and who owns AI governance.
Grounding it in Hong Kong rules
Reference the PDPO and the PCPD’s AI Model Framework, and the Digital Policy Office guideline’s advice against putting sensitive data into insecure public AI services. Add sector rules if you are regulated.
Making it usable
Keep it short, give concrete examples, and pair it with training. osFoundry’s managed cloud pins data to the US, EU or Japan — it does not currently offer a Hong Kong managed region (its nearest managed region is Japan). To keep data in Hong Kong, the honest path is self-hosting osFoundry (BYO Cloud) inside a Hong Kong cloud region such as AWS Asia Pacific (Hong Kong) ap-east-1, Microsoft Azure East Asia (Hong Kong SAR) or Google Cloud asia-east2 (Hong Kong), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Hong Kong 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.