AI governance for Financial services
Industry · Financial services
AI governance for financial services, grounded in real workflows
For financial services, customer assistance and consequential decisions need different controls. The DUBSAR journey is designed to begin with identifiable use, then apply policy only to the selected flows that actually pass through its Gateway.
In 30 seconds
What AI governance means for financial services.
- Question addressed
- Which financial services workflow should be controlled first?
- Next decision
- Choose one bounded workflow, name its owner and define its permitted data and provider route.
- Declared limit
- DUBSAR is designed to organise policies and evidence for connected financial services workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
Current DUBSAR status
A sector-specific control approach, not sector certification
DUBSAR is designed to organise policies and evidence for connected financial services workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
AI governance for Financial services
Customer assistance and consequential decisions need different controls
Drafting a customer reply is not the same as influencing credit, pricing, fraud or claims decisions. The latter can affect rights, finances and regulatory duties.
A model route may be approved for summarisation while automated adverse decisions remain prohibited or subject to specialist review.
AI governance for Financial services
Bind policy to the decision, data and business effect
A useful control records the purpose, data class, model route and whether the output can trigger a customer-facing or financial action.
- Separate assistance from automated decision-making
- Protect account and transaction data
- Hold adverse or unusual actions for review
- Preserve the reason and accountable owner
AI governance for Financial services
Pilot a non-consequential support flow
Start where the model helps an employee rather than deciding for a customer. Use the pilot to test evidence quality and escalation before expanding.
The Cockpit should distinguish recommendation, human decision and executed action so later review does not attribute authority to the wrong component.
External sources
Check the official sources and current product claims.
Frequently asked questions
What to know before going further.
Does DUBSAR certify AI use for financial services?
No. DUBSAR is designed to apply policies and organise evidence on connected flows; it does not provide sector certification or legal advice.
Where should a financial services organisation begin?
With one bounded workflow, a named owner and an explicit list of permitted data, providers and human decisions. Wider coverage should follow only after that route has been tested.
Read next
Continue with another DUBSAR guide.
The portal remains in private testing. These guides explain what DUBSAR is proving — and what it does not yet claim.