AZRUT embedded a cross-functional squad to design intent-based agents with tool use, retrieval over approved knowledge bases, and hard guardrails on what each agent could read or change. We integrated the helpdesk and CRM, ran a phased pilot with human-in-the-loop review, and delivered monitoring so operations could tune deflection without sacrificing compliance or customer trust.
AI-Powered KYC Platform Revolutionizing Identity Verification Across Africa
KentFin

About KentFin
KentFin is a Startup fintech company providing AI-powered KYC (Know Your Customer) solutions across Africa. Financial institutions across the continent faced significant challenges with traditional KYC processes - long verification times, high fraud rates, inconsistent document quality, and poor user experience. KentFin needed a comprehensive AI-powered platform that could handle diverse African identity documents, work in low-connectivity environments, and meet international compliance standards while providing a seamless customer experience.
Project Details
Challenge
Traditional KYC was slow, fraud-prone, and ill-suited to diverse African ID formats and low connectivity. The client needed an AI platform that could verify multiple ID types, work offline or on weak networks, and meet local and international KYC/AML standards.
Solution
AZRUT built an AI-powered KYC platform with OCR for diverse African IDs, face verification, and liveness detection. The solution supports offline-first workflows and sync, cross-reference validation, and audit trails for compliance, cutting verification time by 95% and raising fraud detection accuracy.
Service Provided
Final Outcome
AZRUT successfully delivered a comprehensive AI-powered KYC platform that revolutionized identity verification across Africa. The solution reduced KYC completion time by 95% (from 3-5 days to under 2 hours), achieved 98.5% fraud detection accuracy, and now processes 50,000+ monthly verifications across 15 African countries. The platform supports 45+ government ID types with multi-language OCR capabilities and maintains 100% compliance with local and international KYC/AML regulations. Financial institutions can now onboard customers seamlessly while ensuring security and regulatory compliance.
Implementation Process
How do we Implement the Project?
The development sprints are the key to the success of the project. They are the milestones that we follow to ensure the project is on track and to the satisfaction of the client.
- Discovery & AI Model Research
- Conducted comprehensive research on African identity documents, regulatory requirements, and AI model selection for face detection and OCR across diverse document types and quality levels.
- AI Face Detection & Liveness Verification
- Developed and trained AI models for face detection, liveness verification to prevent spoofing attacks, and face matching against government ID photos with high accuracy across diverse skin tones and lighting conditions.
- OCR & Document Data Extraction
- Built advanced OCR system capable of extracting and validating data from diverse African government IDs including passports, national IDs, driver's licenses, and voter cards with support for multiple languages and document conditions.
- Government ID Validation & Integration
- Implemented real-time validation against government databases where available, developed fallback verification methods, and created intelligent algorithms to detect forged or tampered documents through watermark detection and security feature analysis.
- KYC Review Dashboard & Workflow System
- Developed comprehensive admin dashboard for KYC review officers with intelligent case routing, automated risk scoring, bulk review capabilities, and detailed audit trails for compliance reporting.
- API Development & Client Integration
- Built robust RESTful API infrastructure for seamless integration with banking systems, developed client SDKs, implemented webhook notifications, and conducted thorough integration testing with pilot financial institutions.
- Testing, Compliance & Launch
- Conducted extensive testing across multiple African countries, verified compliance with local and international regulations, performed security audits, and successfully launched the platform with ongoing support and optimization.
- Discovery & AI Model Research
- Conducted comprehensive research on African identity documents, regulatory requirements, and AI model selection for face detection and OCR across diverse document types and quality levels.
- AI Face Detection & Liveness Verification
- Developed and trained AI models for face detection, liveness verification to prevent spoofing attacks, and face matching against government ID photos with high accuracy across diverse skin tones and lighting conditions.
- OCR & Document Data Extraction
- Built advanced OCR system capable of extracting and validating data from diverse African government IDs including passports, national IDs, driver's licenses, and voter cards with support for multiple languages and document conditions.
- Government ID Validation & Integration
- Implemented real-time validation against government databases where available, developed fallback verification methods, and created intelligent algorithms to detect forged or tampered documents through watermark detection and security feature analysis.
- KYC Review Dashboard & Workflow System
- Developed comprehensive admin dashboard for KYC review officers with intelligent case routing, automated risk scoring, bulk review capabilities, and detailed audit trails for compliance reporting.
- API Development & Client Integration
- Built robust RESTful API infrastructure for seamless integration with banking systems, developed client SDKs, implemented webhook notifications, and conducted thorough integration testing with pilot financial institutions.
- Testing, Compliance & Launch
- Conducted extensive testing across multiple African countries, verified compliance with local and international regulations, performed security audits, and successfully launched the platform with ongoing support and optimization.
Technology Stack
We Used Modern stack, maintainable architecture
We choose technology based on product needs, delivery speed, scalability, security, and maintainability
- React
- TypeScript
- Redux
- Material UI
- Node.Js
- Python
- FastAPI
- Express.Js
- MongoDB
- Redis
- TensorFlow
- PyTorch
- OpenCV
- Tesseract OCR
- Face Recognition
- AWS
- Docker
- Kubernetes
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