Prompt
I'm building a lending app and need identity proofing before approval
Latest observation
Oct 5, 2026
OpenAI APIWeb search: off
For a lending app, identity proofing before approval is usually done as a risk-based, step-up verification flow. A practical approach is:
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Collect core identity data
- Legal name
- Date of birth
- Residential address
- Government ID number where permitted
- Phone/email
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Verify possession of contact methods
- OTP to phone/email
- Device/session risk checks
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Document verification
- Capture photo of government ID
- OCR extraction and validation
- Check document authenticity/security features
- Match ID portrait to selfie
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Biometric/liveness check
- Selfie with liveness detection
- Face match against ID photo
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Database and bureau checks
- Address/phone/email consistency
- Watchlist/sanctions/PEP screening if required
- Credit bureau / KYC data sources where allowed
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Fraud/risk signals
- IP geolocation, VPN/proxy detection
- Device fingerprinting
- Velocity checks
- Identity graph / reuse detection
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Decisioning
- Auto-approve low-risk users
- Step-up review for medium risk
- Manual review or decline for high risk
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Audit and compliance
- Store evidence and decision reasons
- Retain logs per regulatory requirements
- Get user consent for data processing and identity checks
- Minimize data collected and encrypt sensitive fields
If you want to implement this well, I can help you with one of these next:
- a full identity-proofing workflow
- a vendor comparison for KYC/IDV providers
- a system design for your lending app
- a compliance checklist by region (US/EU/UK/etc.)