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  • Frontend Developer

    Frontend Developer

    Designing beautiful and accessible interfaces using modern front-end frameworks

      The Problem: KYC Kills Conversions

      KYC is critical—but also painful. Every additional step in identity verification increases user friction, which directly impacts conversion rates, especially in onboarding-heavy industries like fintech, BNPL, and neobanking.

      • Users abandon when upload fails
      • They quit when video liveness takes too long
      • They hesitate when asked for too much too soon

      But removing checks is risky. So the real question is: How can platforms improve completion rates without compromising fraud detection or compliance?

      The Solution: Intelligent, Friction-Less KYC

      Here’s how smart platforms are reducing drop-offs while still managing identity risk:

      1. Replace Liveness Video with Image-Based Verification

      Videos take time to record, fail in poor networks, and intimidate users. ATNA uses image-only checks—verifying document integrity and facial consistency without requiring a selfie video.

      Impact:

      • 30% reduction in dropout during selfie stage
      • Works well in Tier-2/3 markets with low bandwidth

      2. Pre-Fill What You Can from the Document

      Instead of asking users to manually type their name, DOB, and address, extract those directly from the uploaded ID and auto-fill the form. ATNA’s AI-KYC does this in real time.

      Impact:

      • Reduces user effort
      • Prevents mismatches due to typos

      3. Skip Extra Documents Using ATNA Score

      Instead of asking for additional documents when you’re unsure, use ATNA Score to calculate real-time onboarding risk based on document quality, digital footprint, and passive behavior signals.

      Impact:

      • 25% reduction in document re-request
      • Better user experience without cutting risk coverage

      4. Start with Passive Signals First

      Before even asking the user for a document, analyze device, IP, network, and behavioral traits using ATNA’s Digital Footprinting.

      Impact:

      • Identify suspicious users before asking for verification
      • Personalize the level of KYC required

      5. Use Conditional Workflows Based on Risk Tier

      All users don’t need full KYC. ATNA lets you adjust flows:

      • Low-risk: Document + image validation
      • Medium-risk: Add footprinting + extra ID
      • High-risk: Redirect to manual review

      Impact:

      • Right-sized effort for every user
      • Reduces over-verification and under-verification risks

      Conclusion

      Reducing KYC drop-offs isn’t about removing checks—it’s about making them smarter, faster, and invisible where possible. ATNA delivers adaptive KYC without compromising.

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