AI for fintech & non-banking finance

• Non-bank lenders in this market carry roughly five times the non-performing loan ratio of banks, on a book that is more than three quarters retail and running at 2.0x leverage. Loss rates flow straight to equity.
• That gap is a credit decisioning gap, not a market condition.
• MOZN scores risk across internal and external signals, so a thin-file borrower or an SME is assessed on the evidence that exists rather than on the little that fits a traditional scorecard.
• Deterioration surfaces continuously instead of at review, and the recommended next action arrives with its reasoning shown, which is what makes it usable by a credit committee.

• Title deeds, salary certificates, lease contracts and member submissions arrive as Arabic documents in forty formats. Research and deal knowledge walks out of the door with the people who made it.
• MOZN reads those documents as documents, native Arabic, with entity resolution underneath so the same borrower is one record rather than forty.
• Then agents run the knowledge-intensive workflows end to end, from file assembly to decision packaging, with human oversight where it counts.
• This is the solution that lets forty people do the operational work of four hundred, which is the normal shape of a team in this sector.

• You sit under more than one regulator at once, in a licensing regime that is genuinely still moving. Open banking permissions and payment licenses change faster than a small team can read.
• MOZN identifies the relevant changes and works out the implications for your specific permissions and controls, traceable to source.
• Then it maps obligations against controls, finds the gaps, and tracks remediation through to closure.
• Inspection readiness becomes continuous rather than a project, which is the difference between four people coping and four people in control.

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• Synthetic identities, mule networks and corridor structuring hide in relationships rather than in single records, and you onboard and move money in seconds.
• MOZN resolves entities, maps the network behind applications, accounts and corridors, and scores risk in real time, with Arabic name matching built for Arabic names and transliteration so screening stops choosing between a flood of false positives and a missed hit.