Case Study: How OakNorth Matches Its AI-Powered Credit Intelligence With AI-Powered UBO Resolution
A bank famous for zero credit losses on £12.5 billion in lending needed UBO verification that could keep pace with its AI-driven underwriting.
The Challenge
OakNorth is not a typical bank. It lends to mid-market businesses — the “missing middle” with revenues between £1 million and £100 million — using a proprietary AI-powered Credit Intelligence platform that analyses borrower risk across 270 industry sub-sectors. The result: over £12.5 billion in cumulative lending with zero credit losses. Loans that traditional banks take months to approve, OakNorth closes in days.
But there is a tension. OakNorth’s credit engine moves fast. Its AML and KYB compliance process did not. Every loan still required the compliance team to identify Ultimate Beneficial Owners, trace ownership chains, screen against sanctions and PEP lists, and document the entire process for the FCA. For straightforward borrowers, this was manageable. For the complex ones — property developers with multi-layered holding structures, hospitality groups with cross-border ownership, family businesses with trust arrangements — manual UBO resolution could take longer than the credit analysis itself.
OakNorth’s competitive advantage is speed. A borrower who waits three days for a credit decision but then waits two weeks for compliance clearance is a borrower who considers other lenders. The bank needed UBO resolution that was as fast and intelligent as its credit engine.
The Solution
OakNorth deployed Zavia.ai to bring AI-powered UBO resolution into alignment with its AI-powered credit process.
How Zavia.ai works differently for OakNorth:
- Speed-matched compliance: Zavia.ai resolves UBO structures in minutes, not days. For a bank that promises borrowers a credit decision in days, compliance can no longer be the bottleneck. The AI-powered ownership resolution runs in parallel with OakNorth’s credit analysis, so the compliance output is ready when the credit committee meets.
- Property development structure resolution: Property developers are OakNorth’s bread and butter — and the most structurally complex borrowers. A single development project might sit inside an SPV, owned by a holding company, with equity from a family trust and mezzanine from a fund. Zavia.ai’s AI maps these layered structures automatically, calculating effective ownership through every path to identify the natural persons who control the project.
- FCA evidence standard: The FCA expects banks to trace UBOs to a natural person, use authoritative data sources, and maintain a complete evidence trail. Zavia.ai links every UBO determination directly to the originating government registry filing, providing the provenance trail that OakNorth’s regulatory supervisors require. When the FCA reviews a loan file, the ownership evidence is traceable to an official source — not a commercial database screenshot.
- Portfolio-level monitoring for covenant compliance: OakNorth monitors borrower health continuously using its Credit Intelligence platform. Zavia.ai adds an ownership dimension to that monitoring: if a borrower’s UBO changes, its parent company restructures, or a connected entity gets struck off, the alert feeds into OakNorth’s existing portfolio monitoring workflow alongside the financial signals.
The Results
| Metric | Before Zavia.ai | After Zavia.ai |
| UBO resolution speed | 2-4 hours (manual), sometimes days for complex structures | Minutes — matched to OakNorth’s credit decision timeline |
| Property developer UBO mapping | Senior analyst escalation for multi-layered SPV structures | AI-resolved automatically, including trust and fund layers |
| Regulatory evidence trail | Analyst notes + commercial database exports | Government registry-linked evidence for every UBO determination |
| Ownership monitoring | Separate process from credit monitoring | Integrated — ownership changes surface alongside financial signals |
Why It Matters
OakNorth built its entire business on the principle that AI should handle the complex, data-intensive work so humans can focus on judgment. Its Credit Intelligence platform does that for credit risk. Zavia.ai does the same for ownership risk. The bank’s compliance analysts no longer spend hours tracing ownership chains through registries — they review AI-generated ownership maps and focus on the judgment calls: does this structure make sense, is the risk acceptable, what questions should we ask the borrower.
For a bank that has lent £12.5 billion without a single credit loss, the reputational cost of an AML compliance failure would be catastrophic. Zavia.ai ensures that OakNorth’s UBO process is as rigorous and defensible as its credit process.
Bottom line:
Zavia.ai gives OakNorth AI-powered UBO resolution that matches the speed and rigor of its AI-powered credit engine — resolving complex property development structures in minutes, providing FCA-grade evidence trails, and integrating ownership monitoring with the bank’s existing portfolio intelligence.
