How Wealth & Asset Management teams in Hong Kong automate repetitive work with AI while respecting the PDPO and sector rules — implemented by dgm on osFoundry.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Automation is where AI pays for itself in wealth & asset management — but the goal is a measurable reduction in manual work on a specific workflow, not ‘AI everywhere’. Here is a sensible way to approach it in Hong Kong.
What to automate first in wealth & asset management
Good first candidates are high-volume, repeatable and text- or data-heavy: AI portfolio analytics and research, client onboarding and KYC and reporting automation are typical. Avoid starting with one-off or highly bespoke work — the return is harder to prove.
A practical automation sequence
- Pick one repetitive wealth & asset management workflow — for example AI portfolio analytics and research — and write down the current steps and time spent.
- Set a baseline so you can measure improvement, and confirm where the data lives and whether it must stay in Hong Kong.
- Build a small automation with a human in the loop, check its output against the regulator expectations that apply, then expand.
| Stage | Focus |
|---|---|
| Scope | One workflow, current steps, time spent |
| Baseline | Measurable starting point + data-residency check |
| Pilot | Human-in-the-loop build, checked against compliance |
| Expand | Roll out once value is proven |
Compliance while you automate
Asset managers and intermediaries are overseen by the SFC; its November 2024 GenAI circular applies to AI language models used in regulated activities, and the PCPD’s AI Model Framework applies to client personal data. Hong Kong’s asset and wealth-management industry reached around HK$35 trillion in assets under management at end-2024, so AI in research and client servicing sits under SFC conduct expectations. Because there is no standalone binding AI Act in force in 2026, the constraints to design around are the PDPO (collection, use, security and the PCPD’s AI Model Framework recommendations) and the sector rules above.
Keeping automation in Hong Kong
Client and portfolio data favour controlled, in-region or self-hosted environments. 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. osFoundry can run your chosen model under one layer and be self-hosted in a Hong Kong region or run locally for sensitive workflows.
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 can build the first wealth & asset management automation with you and keep a human in the loop. 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.