Financial Services AI
Intelligent finance — from risk to revenue.
Mwzn's Financial Services AI platform powers fraud detection, credit decisioning, customer intelligence, and regulatory compliance automation for banks, insurance companies, and fintechs operating across the GCC. SAMA, CMA, and Basel III alignment built in.
Challenges we solve
- Rising fraud losses from sophisticated attacks
- Slow manual credit underwriting processes
- Heavy regulatory reporting burden
- Customer churn due to poor personalization
95%
Fraud detection accuracy
70%
Faster credit decisions
60%
Compliance cost reduction
3×
Customer LTV improvement
Capabilities
What's included in this solution
Real-Time Fraud Detection
ML models analyzing 300+ signals per transaction in under 50ms — detecting fraud patterns that rule-based systems miss, with <0.1% false positive rate.
AI Credit Decisioning
Alternative data credit scoring models that assess thin-file customers and SMEs — expanding your addressable market while managing risk.
Customer Intelligence & CLV
AI-powered customer segmentation, churn prediction, and next-best-action recommendations that grow wallet share across your book.
Regulatory Compliance AI
Automated SAMA, CMA, and AML reporting with AI-assisted regulatory change monitoring — reducing compliance team workload by 60%.
Market & Risk Intelligence
AI models for portfolio risk, liquidity forecasting, and stress-testing aligned to Basel III and SAMA capital frameworks.
Arabic Financial Chatbot
Arabic-first conversational banking AI for customer onboarding, balance inquiries, dispute resolution, and product recommendations.
Our Approach
How we deliver this solution
Proven Results
What you can expect
60%
Fraud loss reduction
Fraud Prevention
Real-time ML fraud detection catches sophisticated attacks that legacy rule engines miss.
5 sec
Credit decision time
Credit Speed
Automated AI underwriting replaces days-long manual review for SME and consumer credit applications.
22%
Revenue uplift
Revenue Growth
AI-powered next-best-action and personalization drives cross-sell and upsell across your customer base.
Case Study
Real results, real organizations
The Challenge
A fast-growing digital bank faced a 340% increase in fraud losses year-over-year, with legacy rule-based systems blocking 8× more legitimate transactions than fraud.
The Result
Mwzn's real-time fraud ML reduced losses by 61% within 90 days while cutting false positives by 78%, recovering $4.2M in previously blocked legitimate revenue.
61%
Fraud loss reduction
Everything included
Full capability list
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Ready to deploy FinTech AI?
Our team will assess your current state, design a tailored implementation plan, and deliver measurable results within your timeline.