A global fintech company needed to streamline customer and business onboarding, ensure regulatory compliance, and reduce fraud risk. Their manual processes were slow, error-prone, and costly, leading to delays and a poor customer experience.

VIA partnered with the client to design and implement a scalable, AI-driven KYC (Know Your Customer) and KYB (Know Your Business) platform that automates identity verification, business validation, and compliance workflows.

Objectives

❓ Automate document verification and data extraction to accelerate onboarding

❓ Improve fraud detection with AI-powered risk scoring

❓ Support multi-jurisdiction compliance (AML, CFT, GDPR)

❓ Integrate with core banking and CRM systems

❓ Provide real-time analytics and audit trails

Solution Architecture

VIA delivered a microservices-based platform combining computer vision, NLP, and rule-based workflows:

✅ Core Components:

• AI Document Verification:

  • OCR and deep learning models extract and validate information from identity documents, business licenses, tax certificates, and proof of address.

  • Supports passports, ID cards, utility bills, corporate filings.

• Facial Biometrics:

  • AI face matching compares selfies to ID photos to confirm liveness and authenticity.

• Entity Resolution & KYB Checks:

  • Cross-references company data against global registries and watchlists (sanctions, PEP, adverse media).

• Risk Scoring Engine:

  • Machine learning models assign dynamic risk scores based on identity features, location, behavior, and historical data.

• Workflow Orchestration:

  • Automates approvals, escalations, and notifications across compliance teams.

• Audit Logging:

  • Immutable logs for regulatory reporting and traceability.

✅ Technology Stack:

• OCR & NLP: Tesseract, spaCy, custom CNN models

• Facial Recognition: OpenCV + proprietary liveness detection models

• Backend: .NET Core, Python microservices

• Database: PostgreSQL, Elasticsearch for search and indexing

• Frontend: Angular dashboard

• Messaging: Kafka for real-time event streaming

• Cloud: Azure with containerized services

Implementation Approach

1. Discovery & Compliance Mapping:

• Gathered all regulatory requirements (EU AMLD, FATF, regional KYC rules).

• Defined risk scoring criteria with compliance officers.

2. AI Model Development:

• Trained OCR and face recognition models on diverse datasets.

• Developed custom entity resolution logic for KYB.

3. Platform Development:

• Built microservices for onboarding, verification, risk assessment, and reporting.

4. Integration:

• Connected APIs to core banking systems and CRM.

• Enabled webhook notifications for downstream systems.

5. Testing & Certification:

• Conducted UAT with compliance teams.

• Passed external audits for security and regulatory adherence.

Results

❤️ 80% reduction in onboarding time (from days to minutes)

❤️ 90%+ accuracy in automated document verification

❤️ Significant fraud prevention improvements using AI-based liveness and cross-checks

❤️ Compliance readiness across 20+ jurisdictions

❤️ Improved customer experience, driving faster activation and higher satisfaction

Key Takeaways

This project shows that AI and microservices can modernize KYC/KYB, delivering:

• Faster onboarding

• Lower fraud risk

• Better compliance

• Scalable, API-first architecture for growth