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georgi.georgiev

How Face Matching Works and How to Implement It for Secure Remote Onboarding

Face matching compares a live selfie to an ID photo and returns a scored decision. How the AI pipeline works, where accuracy breaks down in production, and the compliance checklist before go-live.

Verifying Identity Away From a Desk: Mobile, Field and In-Person Onboarding

Verification flows built for someone at home with a passport fail in the field. What changes with unreliable connectivity, an unprepared subject, and an agent physically present.

The Real Cost of Manual Identity Checks (and What Automation Actually Removes)

Manual verification cost is review labour plus coordination overhead plus abandonment plus inconsistency. Most organisations measure only the first, which is why manual looks cheaper than it is.

What Happens to Verification Speed When 10,000 People Onboard at Once

Average verification latency hides the peak, and the peak is when your onboarding funnel is worth the most. Which architectural decisions actually govern verification speed under load.

What “Bank-Grade Security” Means When You’re Buying Identity Verification

Five testable requirements behind the phrase, and how a mirrored deployment pipeline with UniCredit Bulbank puts verification under the institution's own control.