Case study

NextPay: 95% fraud detection, 40% less fraud, enhanced efficiency via Flagright

CUSTOMER
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INDUSTRY
B2B payments
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REGION
Asia
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Dive into the transformative journey of NextPay with insights from their Risk and Compliance Manager, Jules Arambulo, as they teamed up with Flagright to revolutionize their fraud detection and prevention mechanisms.

Before Flagright, NextPay grappled with escalating fraud threats, especially as their transaction volume soared. Here's how that narrative took a turn for the better.

Flagright’s exceptional customer support has played a pivotal role in facilitating the expansion of our AML operations. They efficiently address all our requests.
Author
Viktorija Gudeliauskiene
Head of AML Operations at kevin.
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The Problem

NextPay's rapid growth in the Philippines' fintech scene was a double-edged sword. While their transaction volume showcased their success, it also made them a prime target for sophisticated fraudsters.

"Our growth brought both opportunities and challenges. We could detect only about 60% of fraudulent activities, which was alarming," remarked Jules Arambulo of NextPay.

The challenge was clear: How could NextPay effectively convey the robustness of their platform and assure their users of its security?

"Our product's complexity meant that our team often struggled with real-time fraud detection, especially during peak transaction times," Jules added. "We needed a solution that was both dynamic and reliable."

The Solution

Enter Flagright. In just one week, NextPay had fully integrated Flagright's cutting-edge platform, a testament to its adaptability and efficiency.

"The swift integration process was a game-changer. It meant we could immediately address our challenges without any delay," Jules emphasized.

But the rapid integration was just the beginning. Flagright's platform offered:

  • Real-time Fraud Prevention: The ability to block fraudulent transactions as they occurred, ensuring proactive action.
  • Advanced Rule Engine and ML Algorithms: Drawing from global typologies, these tools provided a formidable defense against fraud, allowing for swift testing, insights, and adaptation.
  • Centralized Case Management: Streamlining operations and enhancing efficiency with tools like entity linking and narrative co-pilot.
  • Risk Scoring: Efficiently assessing and managing potential threats, moving away from traditional methods.
  • Comprehensive Dashboarding: Offering a clear view of everything from team performance to system monitoring.

"Flagright's platform was intuitive and powerful. It transformed our approach to fraud detection, enabling us to act swiftly and decisively," Jules said.

The Results

The results of the NextPay and Flagright partnership were nothing short of transformative.

"In just a short span, we boosted our fraud detection rates to 95% and saw a 40% reduction in overall fraud incidents," Jules highlighted.

The benefits were clear:

  • Teams had the tools they needed to work better and faster.
  • They spent less time and money on fighting fraud.
  • Users felt safer and trusted the platform more.

"For us, the impact of Flagright's platform was immediate. We could address fraud threats in real-time, enhancing user trust and platform reliability," Jules added.

Beyond the technical advantages, the support from Flagright stood out as a defining factor in the partnership's success. Jules praised, "Their customer support is the gold standard in the industry. They were always there to help, making sure we got the most out of their system.”

The collaboration also received positive feedback from NextPay's user base, with many highlighting the platform's enhanced security features.

"We've received more positive feedback than ever before. That initial impression, that trust we build with our users, it's invaluable," Jules concluded.

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