Financial Services
Governed data for banks, insurers, and capital markets.
From supervisory reporting to AI-driven customer intelligence, built on the data integrity regulators across the Gulf expect.
Our approach
Why Financial Services
Banks, insurers, and capital markets firms in the Gulf answer to six separate supervisors: SAMA in Saudi Arabia, the Qatar Central Bank, the Central Bank of the UAE, the Central Bank of Oman, the Central Bank of Bahrain, and the Central Bank of Kuwait. Each expects that risk, capital, and customer data can be aggregated accurately, traced back to source, and produced on request. A group operating in more than one of those markets carries every one of those expectations at once, over a single data estate.
DAI Consultancy builds that foundation first. We establish the lineage, master data alignment, and policy controls supervisors look for, then layer analytics, customer intelligence, and generative AI on top, so that compliance spend converts into commercial capability instead of sitting on the books as pure cost.
The failure mode is rarely a missing platform. Risk, finance, and compliance each hold their own version of the same customer, exposure, and counterparty, reconciled by hand at quarter end and then defended in front of a supervisor with a spreadsheet. That is a governance problem before it is a technology problem, and another tool will not resolve it.
Regulatory context
Frameworks we navigate
Supervisory reporting
SAMA, QCB, CBUAE, CBO, CBB, and the Central Bank of Kuwait each set reporting expectations that assume risk data can be aggregated and traced to source. The BCBS 239 principles on lineage, completeness, and timeliness are the common working reference, whether or not a given entity falls formally in scope.
Personal data protection
Five markets have an omnibus law: Saudi Arabia's PDPL under SDAIA, Qatar's PDPPL, the UAE Federal PDPL, Oman's PDPL, and Bahrain's PDPL, each carrying obligations on lawful basis, consent, retention, and breach notification. Kuwait does not, and works instead through CITRA's Data Privacy Protection Regulation, so applicability there is assessed per entity rather than assumed.
Financial free zones
DIFC and ADGM in the UAE and the QFC in Qatar run their own data protection and conduct regimes, supervised by the DFSA, FSRA, and QFCRA. A group with entities inside and outside a free zone is running two rulebooks across one data platform.
Credit risk and provisioning
IFRS 9 expected credit loss models are only as defensible as the exposure, collateral, and staging data behind them. In practice provisioning gets challenged on data quality long before it is challenged on methodology.
Financial crime
AML and counter-terrorist financing programmes across all six markets depend on customer, account, and beneficial ownership records being complete and current. Most alert quality problems trace back to the underlying data rather than to the detection rules sitting on top of it.
Operational resilience
Business continuity and third-party risk expectations across all six Gulf central banks assume an accurate register of critical services and the data flows behind them. Most firms discover the gaps in that register during an incident rather than before one.
Use cases we deliver
High-impact engagements
Supervisory reporting modernisation
Automate BCBS 239, IFRS 9, and Basel III reporting on a governed foundation, with traceable lineage from the submitted figure back to the source system. Success is measured in fewer audit findings and a shorter close, not in another dashboard.
Customer 360 and next best action
A unified customer view across retail, wealth, and corporate books, supporting retention, cross-sell, and churn prediction. Model outputs stay explainable, because a relationship manager has to be able to say why the system recommended what it recommended.
Financial crime data uplift
Strengthen the customer, account, and beneficial ownership data that monitoring depends on, then tune rules and models against it. The objective is fewer false positives without weakening the audit trail a supervisor will ask to see.
Generative AI for advisory and operations
Retrieval-augmented assistants for relationship managers and operations teams, grounded in institutional policy and product terms. Prompt and retrieval controls keep customer data inside the boundary each regulator expects it to stay within.
Relevant services
Pillars that matter most
Where financial services engagements usually start
Discuss your financial services priorities
Let's map your sector's data and AI priorities to a governance-first delivery plan.