Private Banking & Wealth Management
Controlled AI for regulated knowledge.
Relationship managers, analysts, and compliance teams need faster access to internal knowledge — policies, research, product material, procedures. The first win is not autonomous advice. It is controlled, source-grounded internal knowledge.
The institutional constraint
Public AI tools are hard to approve for regulated work, and for good reason: uncontrolled data movement is a reputational and supervisory risk. Yet the pressure to use AI is real — and unmanaged, it becomes shadow usage on private devices. The answer is an internal system your institution actually controls, with evidence to show for it.
What the Regulated AI Cell provides
- An internal assistant over policies, procedures, research, and product knowledge — with citations
- Preparation support for relationship managers: sourced briefings from internal material
- KYC/AML support research across the institution’s own records
- Model-risk evidence: a repeatable evaluation pack before any model is promoted
- SIEM export, change-control records, and audit bundles for supervisory review
- Separate development and production environments; controlled update windows
- Deployment on-premises or on dedicated Swiss-hosted infrastructure
A deliberate first scope
We recommend starting with internal, non-client-sensitive knowledge: policies, research, product material. That scope delivers value quickly, builds the governance track record, and gives your risk function a measured basis for any later extension.
ANULUM claims no regulatory approval or certification. The system produces controlled, source-grounded internal knowledge — not autonomous client advice — and your compliance function evaluates it with our evidence pack in hand.