CASE STUDY

Automating KYC Verification for a Global Neo-Bank

Industry: FinTech / Banking

99.8%
Accuracy Rate
4000+
Hours Saved / Mo
2s
Avg Processing Time
$1.2M
Annual Savings

THE CHALLENGE

Operational Bottlenecks

A rapidly growing London-based neo-bank was facing a critical bottleneck in their user onboarding process. Their manual "Know Your Customer" (KYC) verification team was overwhelmed, leading to a backlog of over 5,000 applications.

The average verification time was hovering around 48 hours, causing a 35% drop-off rate in new sign-ups. Scaling the human team was proving too costly and slow to match their marketing growth. They needed a solution that could scale instantly without compromising on compliance or security.

THE SOLUTION

Intelligent Architecture

OMNIai engineered an end-to-end automated verification pipeline. We integrated state-of-the-art Computer Vision models to extract data from ID documents and match them against selfie videos for liveness detection.

Beyond simple ID matching, we built a decision engine that cross-referenced applicants against global sanctions lists and credit bureaus in real-time. The system was designed to handle 90% of cases autonomously, only flagging edge cases with ambiguous data for human review.

TECHNOLOGY STACK

PythonTensorFlowAWS LambdaPostgreSQLReact Dashboard

LIVE DEMO

See It In Action

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NeoBank

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THE IMPACT

Measurable Success

The impact was immediate. Within two weeks of deployment, the backlog was cleared. The average verification time dropped from 48 hours to just 2 seconds for standard applications.

The automated system achieved a 99.8% accuracy rate, actually outperforming the previous human benchmark. The client was able to reallocate 80% of their compliance staff to more complex fraud investigation roles, significantly improving their overall security posture.

Accuracy Rate: 99.8%
Hours Saved / Mo: 4000+
Avg Processing Time: 2s
Annual Savings: $1.2M

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