Governed data and AI that will stand up to a regulator
Banks, insurers and fintechs want AI for customer service, risk and operations, but they need it on data they can explain, trace and defend. We build that foundation first.
Focus markets: UAE · UK
The problems that come up most
Regulatory reporting eats capacity
Reports for the central bank or financial regulator are assembled by hand from systems that don't agree.
No single view of the customer
Core banking, cards, digital channels and CRM each hold part of the picture, with different identifiers.
AI risk and model governance
Boards want AI adoption and risk teams want control: lineage, explainability and audit trails for every model.
Data residency and onshore rules
Sensitive data must stay in-country or in-zone, which limits which tools and clouds can be used.
What we do about it
- Lakehouse platforms with end-to-end lineage for regulatory and finance data
- Customer data models that join core banking, cards, digital and CRM
- Governed assistants over policies, procedures and product documents
- AI governance: access control, evaluation, audit trails and model inventories
Regulation we design for: CBUAE, DFSA (DIFC) and FSRA (ADGM) rules, UAE PDPL, and FCA, PRA and UK GDPR in the UK.
Questions your teams could ask
- Which corporate clients are above 85% of their credit limit this month?
- How did retail deposit balances move by segment over the last quarter?
- What does our policy say about KYC refresh for high-risk customers?
Illustrative. Answered from your governed data, in Slack, Teams or your own tools.
Find out how ready your data is
Start with the free scorecard, or book a call to talk through a specific use case.