Auto‑IdentOn
Automated Biometric Identity Verification
Automated identity verification at scale, using ID capture with face matching and liveness detection, and policy-driven step up only when required.
Who it’s for
Digital onboarding teams that need high conversion, lower operational load, and stronger fraud controls, without defaulting to human verification.
When you need it
- High‑volume onboarding where agents cannot verify every customer
- You want automation‑first verification approach with exception handling
- You need consistent, policy‑based outcomes and verification evidence to support audits and reviews
What it prevents
- Over‑reliance on manual review, reducing agent bottlenecks
- Inconsistent decisions across channels or teams
- Increased fraud exposure from weak identity assurance in self‑service flows
What you get
- Automated liveness checks and face matching, performed after ID capture
- Rules‑based routing to automated completion, step‑up verification, or manual review
- Unified evidence across automated and step‑up flows
Key capabilities
- Automated liveness verification with active user prompts
- Face matching, comparing selfie capture with ID portrait data
- Policy-driven decisioning that routes cases to automation, step-up, or manual review
- Automated verification by default, with escalations only for exceptions
- Web and mobile supported
Trust & compliance
- Policy-driven decisions with timestamps and traceability
- Governed evidence retention aligned with internal controls
Typical use cases
- High‑volume retag onboarding, with automation awiththe default path
- Low‑ to medium‑risk onboawithing, using controlsed step‑up when required
- Self-service digital onboarding journey where human review is the exception
- Onboarding flows requiring controlled escalation from automated to human verification