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Highlights
Advanced encryption prevented real-time fraud attempts.
Slashed operational workload by 50%, boosting efficiency.
Automation minimized manual review effort significantly.
Key Details
Client
NovaPay
Industry
FinTech
Project Size
Large
Duration
8 months
Challenges
The company faced rising fraud attempts and high manual review workload across its payment system, which led to:
- Inconsistent fraud detection speed
- High number of false positives
- Increased operational workload
- Limited real-time monitoring capabilities
Solutions
Coretus implemented an AI-powered fraud detection engine using intelligent automation and real-time analytics.
- Built ML models using historical fraud data
- Deployed real-time monitoring pipelines
- Reduced manual reviews through automation
- Integrated alerts within transaction systems
Outcome
With Coretus' intelligent automation, the client streamlined fraud detection and boosted transaction trust globally.
- Strengthened customer confidence
- Improved regulatory compliance
- Lowered operational overhead
- Enhanced fraud detection accuracy
| 45% | False Positives Reduction |
| 60% | Faster Fraud Detection Window |
| 70% | Fewer Manual Reviews |
Our Roadmap
01
Thorough Business Review
Analyze workflows for automation impact.
02
Identify Use Cases
Spot tasks that drive maximum efficiency.
03
Tailored Automation Strategy
Create solutions aligned with business goals.
04
Integrate & Implement
Seamlessly embed automation into systems.
Snapshots of Innovation
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04
Conclusion
Coretus' AI-driven automation empowered NovaPay to detect fraud faster, reduce operational overhead, and enhance customer trust, delivering a secure, compliant, and efficient payment ecosystem.
Our Tech Armor
Where Top Leaders Believe
Coretus helped us modernize our fraud detection engine. Their AI approach was spot-on and scalable from day one.
- Oliver Connor, NovaPay (FinTech Partner)
