Data, governance & AI for financial institutions
Ahjayee helps banks, fintechs and payment providers across Africa fix fragmented data, meet regulatory expectations and implement AI on data they can trust.
Most financial institutions don't have an AI problem. They have a data foundations problem. Fragmented systems, inconsistent definitions, manual reconciliations, and critical data spread across spreadsheets, vendors and platforms no one fully controls. Adding AI or new regulation on top only exposes the gaps faster. The institutions that win are the ones that build the right foundations first.
Every engagement is grounded in how regulated institutions actually work: ownership, lineage, controls and evidence.
Map, classify and plan the migration of payment and customer data, including backups, disaster recovery copies and vendor-held data, ahead of the 1 January 2027 requirement.
Ownership, definitions, lineage and controls that hold up to regulatory and audit scrutiny, so every critical number has an owner and a source.
Aggregation, reporting and remediation aligned with BCBS 239 principles, built by people who have delivered it inside global banks.
Explainable, tested AI use cases, from credit analysis to customer operations, combining deterministic financial logic with evaluated AI.
We assess the institution across four data layers. The findings determine where the regulatory gaps sit, and where analytics and AI will create real value, in what sequence.
How customers, counterparties and merchants are identified and verified, and whether KYC data is consistent across systems.
How payment and transaction data flows from source through processing, settlement, reconciliation and reporting.
Where data is stored, copied and retained, including backups, vendors and cloud, and whether its lineage can be evidenced.
How trusted data feeds risk, reporting and decisions, and where governed AI can safely be applied.
Most data and AI programmes in financial services fail on sequence, not technology. Automation built on undefined ownership produces faster errors. Reporting built on unreconciled data produces confident misinformation.
We do not skip steps. Neither should you.
We assess where your data lives, who owns it, how it flows and where the regulatory, operational and control gaps sit.
We design the target data structure, ownership model, controls and lineage documentation, with a sequenced implementation plan leadership can approve.
We help build and embed the solution, from data platforms and dashboards to governed AI workflows, and hand over to your team with the evidence regulators expect.
Payment transaction data generated in Nigeria must be stored and managed in Nigeria from 1 January 2027. Moving the main database is the easy part. The real work is finding every copy, assigning ownership and proving it. This structured assessment gives you a clear data map, a gap analysis and a migration plan.
Ahjayee was founded by Banke Ajayi, a data and quantitative risk specialist who has worked across Barclays, Citi, BNP Paribas, Deutsche Bank and Handelsbanken. That work includes BCBS 239 data lineage, FRTB credit risk, TRIM and US IHC regulatory programmes. The AI work is not a pivot. It is where the data infrastructure work was always pointing.
We apply the same foundations-first approach to growing businesses and groups: documenting processes, connecting disconnected tools, building reliable reporting and group-wide data systems. Every engagement starts with the Business Foundation Audit.
The first conversation is about clarity: what data you hold, where the gaps are and the right path to close them. If we are the right fit, we will tell you. If we are not, we will tell you that too.
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