🚀 Onboarding Workflow
Building the Complete eKYC User Journey
This section covers the end-to-end onboarding experience — from SDK integration and UX design to decision engines, manual review queues, webhook architecture, and conversion optimization. Where previous sections covered individual AI components, this section covers how they're assembled into a production system.
Articles in This Section
SDK & Integration
User Experience
| # |
Article |
What You'll Learn |
| 4 |
eKYC UX Best Practices |
Camera guidance, error handling, progress indicators |
| 5 |
Conversion Optimization |
Drop-off analysis, funnel optimization, A/B testing |
| 6 |
Accessibility in eKYC |
Designing for disabilities, elderly, low-literacy users |
| 7 |
Multi-Channel Onboarding |
Mobile, web, branch, agent-assisted, hybrid flows |
Decision & Processing
Operations & Optimization
The Complete Onboarding Flow
graph TD
A[User Starts Onboarding] --> B[SDK Initialization<br/>Session created, config loaded]
B --> C[Document Capture<br/>Auto-capture with quality guidance]
C --> D[Selfie Capture<br/>Liveness + face capture]
D --> E[Data Collection<br/>Additional fields if needed]
E --> F[Submission<br/>All data sent to server]
F --> G[Server Processing]
G --> G1[Document processing<br/>OCR + forensics + liveness]
G --> G2[Face processing<br/>Liveness + matching]
G --> G3[Screening<br/>Sanctions + PEP + adverse media]
G --> G4[Database verification<br/>Government API checks]
G1 & G2 & G3 & G4 --> H[Decision Engine]
H --> I{Decision}
I -->|Auto-approve 70-85%| J[✅ Webhook: Approved]
I -->|Manual review 8-15%| K[Review Queue]
I -->|Auto-reject 3-8%| L[❌ Webhook: Rejected]
K --> M[Agent Reviews]
M --> N[✅ Approved] & O[❌ Rejected]
J & N --> P[Account Activated]
L & O --> Q[Rejection + Reason]
style H fill:#4051B5,color:#fff
style P fill:#2E7D32,color:#fff