Phase 1: Fraud & Onboarding Assessment
- Evaluated KYC workflows
- Mapped fraud risk scenarios
Client Overview
A financial institution handling high onboarding volumes implemented KYC fraud prevention to detect forged documents and suspicious submissions.
The Challenge
The institution encountered several operational issues:
- Manual KYC verification causing onboarding delays
- Difficulty identifying forged or manipulated identity documents
- High dependency on manual fraud-review teams
- Inconsistent document-validation accuracy
The Solution
IBOTIX deployed The Doc Forensics with Gen AI and Agentic AI to automate KYC verification, anomaly detection, and fraud orchestration.
Key Features Implemented
- AI-powered KYC document validation
- Intelligent fraud-detection workflows
- OCR-based identity-document extraction
- Gen AI-driven anomaly detection
Implementation Approach
Phase 2: The Doc Forensics Deployment
- Configured AI Document Processing, OCR and Gen AI models
Phase 3: Integration & Monitoring
- Built fraud-monitoring dashboards
- Enabled automated risk alerts
Phase 4: Optimization
- Improved fraud-detection accuracy
- Reduced manual review dependency
Results Achieved
Operational Improvements
- Faster KYC verification and onboarding workflows
- Reduced manual fraud-review workload
Accuracy Enhancements
- Real-time identification of fraudulent documents
- Improved onboarding-validation accuracy
Business Impact
- Reduced operational fraud risks
- Improved customer-onboarding efficiency
Key Outcomes
- ✓The Doc Forensics for Intelligent Document Processing
- ✓Gen AI-driven KYC fraud detection
Conclusion
The KYC Fraud Prevention system improved onboarding security, reduced fraud risk, and automated validation workflows at scale.
