Document Information

Document Version 1.2.0
Last Updated August 21, 2025
Author BizFirstFi Product Team
Review Status Approved
Target Audience Business Analysts, Developers, Compliance Officers

1. System Overview

1.1 Purpose

The KYC (Know Your Customer) Platform is designed to automate customer identity verification processes while ensuring compliance with regulatory requirements. The system provides a comprehensive solution for customer onboarding, document verification, risk assessment, and ongoing monitoring.

1.2 Scope

This specification covers the functional requirements for:

  • Customer information collection and validation
  • Document upload and verification processes
  • Identity verification and biometric authentication
  • Risk assessment and screening workflows
  • Compliance officer review and approval processes
  • Reporting and audit trail generation
1.3 System Architecture

Frontend Layer

React-based customer portal and admin dashboard with responsive design

API Layer

RESTful API built with .NET Core providing secure access to all functionality

Business Logic Layer

Core business rules, workflows, and validation logic

Data Layer

SQL Server database with Entity Framework for data persistence

2. Functional Requirements

2.1 Customer Registration Process

FR-001: Basic Information Collection

Field Name Type Required Validation Rules
FirstName String(50) Yes 2-50 characters, alphabetic only
LastName String(50) Yes 2-50 characters, alphabetic only
Email String(100) Yes Valid email format, unique in system
DateOfBirth Date Yes Age >= 18 years, <= 120 years
Nationality String(3) Yes ISO 3166-1 alpha-3 country code
PhoneNumber String(20) Yes International format with country code

FR-002: Address Information

Business Rules: - Residential address is mandatory - Business address is optional for individual customers - Address must be verified against postal service databases where available - Support for multiple address formats (US, UK, EU, etc.) Validation Logic: if (addressType == "Residential") { validateRequiredFields(streetAddress, city, postalCode, country); validatePostalCode(postalCode, country); if (country == "US") validateStateCode(state); }
2.2 Document Upload and Verification

FR-003: Document Type Requirements

Document Category Accepted Types Requirements Verification Method
Primary ID Passport, National ID, Driver's License Government-issued, unexpired, clear photo OCR + Document Authentication
Proof of Address Utility bill, Bank statement, Tax document Dated within last 3 months OCR + Date validation
Selfie Photo Live photo capture Clear face, no glasses/hat, liveness proof Facial recognition + Liveness detection

FR-004: Document Processing Workflow

Document Upload Process: 1. File validation (size, format, quality) 2. Virus/malware scanning 3. OCR text extraction 4. Document authenticity verification 5. Data field extraction and mapping 6. Quality assessment scoring 7. Fraud detection analysis 8. Storage in secure document vault Quality Thresholds: - Image resolution: minimum 300 DPI - File size: 50KB - 10MB - Supported formats: JPG, PNG, PDF - OCR confidence: minimum 85% - Authenticity score: minimum 70%
2.3 Identity Verification Process

FR-005: Biometric Verification

Facial Recognition Algorithm: 1. Face detection and landmark identification 2. Liveness detection (blink, head movement) 3. Face quality assessment 4. Photo-to-ID comparison 5. Confidence score calculation 6. Anti-spoofing verification Acceptance Criteria: - Face match confidence: >= 85% - Liveness score: >= 90% - Image quality: >= 80% - No spoofing indicators detected

FR-006: Data Cross-Validation

Validation Type Data Sources Validation Rules
Name Matching Document OCR vs User Input Fuzzy matching with 95% similarity threshold
Date of Birth Document vs User Input Exact match required
Address Verification Document vs Postal databases Address normalization and validation
Document Expiry Document OCR extraction Must be valid for at least 6 months
2.4 Risk Assessment and Screening

FR-007: Automated Screening Process

Screening Workflow: 1. Name-based screening against watchlists 2. Date of birth and nationality cross-checks 3. PEP (Politically Exposed Person) identification 4. Sanctions list verification 5. Adverse media monitoring 6. Risk score calculation 7. Decision routing based on risk level Screening Sources: - OFAC Sanctions Lists - UN Security Council Consolidated List - EU Consolidated List - HM Treasury Consolidated List - World Bank Debarred Entities - Custom client watchlists

FR-008: Risk Scoring Algorithm

Risk Factor Weight Scoring Criteria
Geographic Risk 25% Country risk rating (FATF, Transparency Intl)
Document Quality 20% OCR confidence, authenticity score
Identity Verification 25% Biometric match confidence
Screening Results 30% Watchlist matches, PEP status, adverse media
Risk Level Classification: - Low Risk: Score 0-30 (Auto-approve eligible) - Medium Risk: Score 31-70 (Manual review required) - High Risk: Score 71-100 (Enhanced due diligence) Auto-Approval Criteria: riskScore <= 30 AND documentQuality >= 85 AND biometricConfidence >= 90 AND noWatchlistMatches AND !isPEP AND countryRisk <= "Medium"

3. Business Logic Specifications

3.1 Application Status Management

BL-001: Status Transition Rules

Status Flow: Draft → Submitted → UnderReview → [Approved|Rejected|RequiresAdditionalInfo] Transition Conditions: - Draft → Submitted: All required fields completed, minimum documents uploaded - Submitted → UnderReview: Automatic upon submission - UnderReview → Approved: Risk score <= threshold OR manual approval - UnderReview → Rejected: High risk score OR compliance officer rejection - UnderReview → RequiresAdditionalInfo: Missing/unclear documents Automatic Transitions: if (application.Status == "Submitted") { var riskScore = CalculateRiskScore(application); var screeningResults = PerformScreening(application); if (riskScore <= AUTO_APPROVE_THRESHOLD && !screeningResults.HasMatches) { application.Status = "Approved"; application.ApprovedAt = DateTime.UtcNow; application.ApprovedBy = "SYSTEM"; } else { application.Status = "UnderReview"; AssignToReviewer(application); } }
3.2 Document Processing Logic

BL-002: OCR Data Extraction

Extraction Process: 1. Image preprocessing (enhancement, rotation correction) 2. Text region identification 3. Character recognition with confidence scoring 4. Data field mapping and validation 5. Error correction and post-processing Field Mapping Rules: switch (documentType) { case "Passport": extractPassportData(ocrResult); validateMRZData(ocrResult.MRZ); break; case "DriversLicense": extractDLData(ocrResult); validateDLNumber(ocrResult.LicenseNumber, issueState); break; case "NationalID": extractNationalIDData(ocrResult); validateIDNumber(ocrResult.IDNumber, country); break; }

BL-003: Document Authentication Logic

Authentication Checks: 1. Security feature detection (holograms, watermarks) 2. Font analysis and consistency checks 3. Image tampering detection 4. Template matching against known formats 5. Metadata analysis for manipulation signs Authenticity Scoring: var authenticityScore = 0; authenticityScore += ValidateSecurityFeatures(document) * 0.3; authenticityScore += ValidateFontConsistency(document) * 0.2; authenticityScore += ValidateTemplate(document) * 0.3; authenticityScore += ValidateMetadata(document) * 0.2; return Math.Min(100, authenticityScore);
3.3 Compliance Workflow Logic

BL-004: Review Assignment Algorithm

Reviewer Assignment Logic: public ComplianceOfficer AssignReviewer(KycApplication application) { var riskLevel = application.RiskAssessment.Level; var workload = GetReviewerWorkloads(); var specializations = GetRequiredSpecializations(application); var eligibleReviewers = complianceOfficers .Where(r => r.RiskLevel >= riskLevel) .Where(r => HasRequiredSpecializations(r, specializations)) .Where(r => r.IsActive && r.IsAvailable) .OrderBy(r => workload[r.Id]) .ThenBy(r => r.LastAssignedAt); return eligibleReviewers.FirstOrDefault(); } Escalation Rules: - High-risk applications: Senior compliance officer required - PEP matches: Specialized PEP reviewer assigned - Complex cases: Team lead escalation after 48 hours - SLA breaches: Automatic manager notification

BL-005: SLA Management

Risk Level Review SLA Escalation Trigger Business Hours
Low 4 hours 6 hours 24/7 (automated)
Medium 24 hours 36 hours Monday-Friday 9AM-6PM
High 48 hours 72 hours Monday-Friday 9AM-6PM

4. Data Model Specifications

4.1 Core Entities

Entity: KycApplication

public class KycApplication { public Guid Id { get; set; } public string CustomerId { get; set; } public ApplicationStatus Status { get; set; } public DateTime SubmittedAt { get; set; } public DateTime? ReviewedAt { get; set; } public string ReviewedBy { get; set; } public string ReviewNotes { get; set; } // Navigation Properties public CustomerInfo CustomerInfo { get; set; } public List<KycDocument> Documents { get; set; } public RiskAssessment RiskAssessment { get; set; } public List<ScreeningResult> ScreeningResults { get; set; } } public enum ApplicationStatus { Draft, Submitted, UnderReview, RequiresAdditionalInfo, Approved, Rejected }

Entity: KycDocument

public class KycDocument { public Guid Id { get; set; } public Guid ApplicationId { get; set; } public DocumentType Type { get; set; } public string FileName { get; set; } public string StorageUrl { get; set; } public DocumentStatus Status { get; set; } public DateTime UploadedAt { get; set; } public decimal ConfidenceScore { get; set; } // OCR and Verification Results public OcrResult OcrData { get; set; } public VerificationResult VerificationResult { get; set; } } public enum DocumentType { Passport, DriversLicense, NationalID, ProofOfAddress, SelfiePhoto, Other }
4.2 Database Schema

Key Relationships

-- One-to-One: KycApplication ↔ CustomerInfo -- One-to-Many: KycApplication → KycDocuments -- One-to-One: KycApplication ↔ RiskAssessment -- One-to-Many: KycApplication → ScreeningResults -- One-to-Many: KycApplication → AuditLogs -- Indexes for Performance CREATE INDEX IX_KycApplication_Status ON KycApplications(Status); CREATE INDEX IX_KycApplication_SubmittedAt ON KycApplications(SubmittedAt); CREATE INDEX IX_KycApplication_CustomerId ON KycApplications(CustomerId); CREATE INDEX IX_KycDocument_ApplicationId ON KycDocuments(ApplicationId);
4.3 Data Validation Rules
Field Validation Rule Error Message
Email Regex: ^[^\s@]+@[^\s@]+\.[^\s@]+$ "Please enter a valid email address"
PhoneNumber E.164 format validation "Please enter phone number in international format"
DateOfBirth Age between 18-120 years "Customer must be between 18 and 120 years old"
PostalCode Country-specific format validation "Please enter a valid postal code for your country"

5. Integration Specifications

5.1 External Service Integrations

Watchlist Screening Services

Service: WorldCompliance API Endpoint: https://api.worldcompliance.com/v1/screening Authentication: API Key + OAuth 2.0 Rate Limit: 1000 requests/hour Timeout: 30 seconds Retry Policy: Exponential backoff, max 3 retries Request Format: { "searchType": "Individual", "firstName": "John", "lastName": "Doe", "dateOfBirth": "1985-03-20", "nationality": "US", "includeWatchlists": ["OFAC", "UN", "EU"], "includePEP": true, "includeAdverseMedia": true }

Document Verification Service

Service: TrustID Verification API Endpoint: https://api.trustid.com/v2/verify Authentication: Bearer Token Rate Limit: 500 documents/hour File Size Limit: 10MB Supported Formats: JPG, PNG, PDF Verification Process: 1. Upload document to secure endpoint 2. Receive verification job ID 3. Poll for results every 5 seconds 4. Parse and store verification results 5. Clean up temporary files
5.2 Internal System Integrations

Customer Database Integration

CRM System: Salesforce Integration Type: REST API Authentication: OAuth 2.0 Sync Frequency: Real-time via webhooks Sync Direction: Bidirectional Data Mapping: KYC.CustomerInfo.Email → Salesforce.Contact.Email KYC.CustomerInfo.FullName → Salesforce.Contact.Name KYC.RiskAssessment.Level → Salesforce.Contact.Risk_Level__c KYC.Application.Status → Salesforce.Contact.KYC_Status__c

6. Performance Requirements

Metric Requirement Measurement Method
Page Load Time < 3 seconds Lighthouse performance audit
API Response Time < 500ms (95th percentile) Application Performance Monitoring
Document Processing < 30 seconds per document Processing time logs
System Availability 99.9% uptime Health check monitoring
Concurrent Users 10,000 simultaneous users Load testing scenarios
Throughput 1,000 applications/hour Performance counters

7. Security Requirements

7.1 Data Protection
  • PII encryption at rest using AES-256
  • TLS 1.3 encryption for data in transit
  • Database encryption with transparent data encryption (TDE)
  • Key management using Azure Key Vault
  • Regular security audits and penetration testing
7.2 Access Control
Role-Based Access Control (RBAC): - Customer: View own application status and documents - ComplianceOfficer: Review and approve/reject applications - Administrator: Full system access and configuration - Auditor: Read-only access to all data for compliance Permission Matrix: Action | Customer | Officer | Admin | Auditor --------------------------|----------|---------|-------|-------- Create Application | ✓ | ✗ | ✓ | ✗ Upload Documents | ✓ | ✗ | ✓ | ✗ Review Application | ✗ | ✓ | ✓ | ✗ Approve/Reject | ✗ | ✓ | ✓ | ✗ View Audit Logs | ✗ | ✗ | ✓ | ✓ Configure System | ✗ | ✗ | ✓ | ✗
7.3 Audit Requirements
  • Complete audit trail for all user actions
  • Immutable log storage with timestamp verification
  • Data retention for 7 years minimum
  • Regular backup and disaster recovery testing
  • Compliance with SOX, GDPR, and industry regulations