How our AI bot lifts onboarding ratios to 95%

Most verification flows lose users at predictable moments: a blurry photo, a confusing instruction, a check that silently fails. Our AI bot exists to catch exactly those moments.

Where onboarding usually breaks

Industry drop-off tends to cluster in three places: document capture (bad lighting, wrong document, cropped edges), the selfie/liveness step (unclear instructions), and the waiting gap between submission and decision. Each adds friction; together they can cost a double-digit share of genuine users.

What the bot does differently

• Real-time capture coaching: the bot detects glare, blur and cropping while the camera is open and tells the user how to fix it — before submission, not after rejection.
• Instant retries in-flow: a failed frame never ends the session. The user stays in one continuous flow until the capture succeeds.
• Language that adapts: instructions run in 50+ languages, matched to the user's device — and switch automatically.
• No dead waiting: checks run in parallel while the user finishes the flow; the average path from upload to approval is 20 seconds.

Why 95% matters commercially

Onboarding ratio is revenue arithmetic. If paid acquisition brings 1,000 signups and verification completes at 80%, you paid for 200 users who never arrive. At 95%, the same spend yields 150 extra verified customers — every month, compounding. Verification is the last mile of your funnel; improving it is usually the cheapest growth lever a regulated business has.

Fraud doesn't slip through

A high completion rate is only valuable if the checks stay strict. The bot smooths the path for genuine users while the engine behind it verifies document security features, matches faces, checks liveness and screens against sanctions and PEP lists on every single pass. Friction goes down; the bar does not.