Case Study

How Mobily Pay Transformed Fraud Risk Scoring into a Growth Lever with MOZN

One Score

Persistent, explainable risk per customer

Real Time

Decisions across every channel

Risk‑Based Limits

Stronger controls for high‑risk customers

Access the Full Case Study

Company
Mobily Pay
Headquater
Riyadh, Saudi Arabia
Industry
Digital Payments and Fintech
Founded In
2022
Number Of Users
1 Million+ downloads
Platform
MOZN Customer Risk Scoring

Mobily Pay, one of Saudi Arabia’s largest digital wallets, had to meet SAMA’s customer-level fraud risk assessment mandate without slowing the product down. With MOZN, it went live in under 30 days, then used one risk score per customer to rein in risky behavior and open up limits for the customers it trusts. The 2-page case study is the full story.

What’s Inside The Full Case Study:

The results above are the headline. The case study shows the how — the decisions behind them and what your team can reuse.

  • Why event‑by‑event checks left Mobily Pay blind to the full customer picture and what they replaced them with instead.
  • The complete Customer Risk Scoring setup: unified event evaluation, central scoring engine, and persistent, always‑on customer risk profile.
  • How risk‑based limits transformed a compliance control into a driver of safe revenue growth.
  • The 30-day path to go-live, without disrupting the product roadmap or customer experience.
  • How every score stays explainable and auditable for SAMA.
  • What the fraud, compliance, and product teams do differently now.

AI-Driven Precision in
Fraud Risk and AML Compliance

Streamline your operations and empower informed decision-making in emerging markets with us.

The Challenge
Organizations face rising financial crime, stricter regulations, and outdated systems. Manual reviews, siloed tools, and false alerts slow down enterprises and leave them exposed.
The solution

Why FOCAL?

FOCAL by MOZN accelerates fraud detection, automates compliance, and keeps organizations ahead of fast-changing risks and regulations.

One Centralized Platform

Bring fraud detection, AML, and due diligence into one seamless AI-native solution.

Adaptive Machine Learning

Self-learning models improve accuracy, cut false positives, and adapt as risks shift.

Localized Intelligence

Built-in rules, watchlists, and data tuned to local regulations and realities.

Rapid Deployment

Pre-built integrations and a single API for faster time-to-value. 

Scalable by Design

Cloud-native, modular architecture that grows across products, channels, and regions.

Expert Support

Local specialists with global compliance know-how at your side.