Automated systems can’t see nuance. A face might match AI heuristics—but not be legitimate. An ID scan may pass machine checks—but still have signs of tampering.
AgeSmart’s model—and now Age Layer—places human review at the core:
Real people interpret edge cases
Fraud indicators get context-sensitive evaluation
Privacy decisions respect user redactions
This isn’t slow or manual — it’s precision where it matters.
Workflow:Tech + Human Balanced
1
User initiates verification
Uploads ID + selfie—or a selfie-only fallback
Sensitive data can be redacted in real time
2
Tech-augmented screening
Automated quality checks: face and DOB visibility, image clarity, liveness flagging
3
Human-reviewed verification
Trained agents confirm document authenticity, verify match, and validate age threshold or identity
Any unclear or suspicious case moves to manual oversight
4
Passcode issued for reuse
Once approved, users receive a passcode they can reuse across partner sites without repeated verification
Core Strengths
Redaction support
Users hide personal ID details while still being verified
Lightweight tech support
Ensures clear capture and basic automated checks
Human decision trail
Every verification has a quality-reviewed log
Reusable passcode
One-time verification, multiple partner accesses
No AI-only decisions
Fairness, accuracy, and regulatory defensibility
Security & Privacy By Design
GDPR‑aligned, from the first screen to the final deletion
Data minimisation: images and IDs discarded after review
User control: redaction tools built into upload flow
Audit-ready logs, not AI-only relics
No profiling or tracking scripts—only passcodes are referenced across platforms