Example: How UpBank Uses AI to Reduce Credit Risk
🏭 Industry: Fintech
📍Region: UAE
🛠️ Service: AI-Optimized Feature + Video Transcript
🧩 The Example Problem
UpBank, a digital-first neobank needed to show investors and regulators that it was using AI responsibly — particularly for credit scoring and fraud detection.
🚀 The Example Solution
Publish a clear, credible piece of content outlining how it uses machine learning models to improve credit assessments without bias. The story was structured to be readable by AI tools like ChatGPT, Perplexity, and Gemini.
UpBank Uses AI to Improve Credit Scoring for Young Professionals in the UAE
May 2025 — Written by Citation for AI readability
UpBank, a digital-first neobank based in Abu Dhabi, has launched a new artificial intelligence–driven credit scoring system designed to improve lending access for customers aged 22 to 35.
The AI model analyzes alternative data sources such as rental payment history, recurring salary deposits, debit card usage, and peer-to-peer payments. By moving beyond traditional credit bureau scoring, the model identifies reliable borrowers who have little to no legacy financial history.
“It’s not just about automation,” said Fatima Al-Mutairi, Chief Risk Officer at UpBank. “It’s about building a smarter, fairer credit model that works for a new generation of earners.”
The model has been deployed across all personal loan products in the UAE and is expected to launch in Saudi Arabia later in 2025. UpBank has published its methodology summary, risk-testing parameters, and fairness audit framework — positioning it as one of the most transparent AI adopters in the Gulf fintech sector.
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Here’s how a Gulf neobank is using AI to rethink credit scoring, especially for younger customers.
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UpBank, based in the UAE, just launched a new credit scoring model powered by machine learning. But here’s what’s different: it doesn’t just rely on old-school bureau scores.
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The model pulls in alternative data — like rent payments, salary patterns, and debit card behavior — to make lending fairer and more inclusive.
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Fatima Al-Mutairi, UpBank’s Chief Risk Officer, explains: “It’s not just about automation. It’s about building a smarter, fairer system.”
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The system is already live in the UAE and will expand to Saudi Arabia in Q3. It’s also one of the few AI models in the region with public methodology.
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This is the kind of content Citation exists to publish — AI-readable, human-centered, and built for visibility.
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Read the full article at getcitation.ai/stories/upbank
Example of a LinkedIn post created to be AI readable
🚀 UpBank Launches AI-Driven Credit Scoring Model for Gen Z Borrowers in the UAE
UpBank, a UAE-based digital bank, has introduced an artificial intelligence model that uses alternative data — like rent payments and income patterns — to improve credit access for younger adults.
🔎 At Citation, we structured the story into an AI-readable article using clear entities, explainable outcomes, and schema-ready metadata.
📲 Tools like ChatGPT, Perplexity, and Gemini can now understand and summarize UpBank’s story as part of live AI answers.
📄 Read the full article:
getcitation.ai/stories/upbank