Vendor-reported figures — source: ezee.ai
One of India's largest banks — with annual profits exceeding ₹7,500 crore — operated a KYC onboarding process built for a pre-digital era. Every new customer account required physical document submission, manual verification by branch staff, and multi-step compliance review under Reserve Bank of India (RBI) and UIDAI regulations. End-to-end, this process took up to 7 days. At the scale the bank operated, that delay translated into substantial customer drop-off, high per-account processing costs, and growing exposure to manual error. As competitor fintechs offered near-instant digital onboarding, the bank's paper-intensive model became both a retention liability and a competitive disadvantage.
The bank deployed ezee.ai's zero-code, AI-powered Video KYC platform to reengineer verification from the ground up. The platform applied Computer Vision and Document AI to automate identity document parsing and liveness detection in real time, replacing manual checks at every stage. A real-time orchestration layer managed high-volume concurrent sessions with continuous uptime, while automated consent capture and immutable audit trails were embedded natively into each workflow — making compliance a structural property of the system rather than a downstream review step. Because ezee.ai's platform required no custom code, the bank avoided lengthy development cycles and achieved enterprise-scale deployment without rebuilding underlying core banking infrastructure.
Onboarding time collapsed from 7 days to 15 minutes — a dramatic reduction — enabling the bank to activate 2,000+ accounts per day with no degradation in compliance posture. Key outcomes:
Beyond throughput, the shift removed compliance bottlenecks that previously required specialist staff review, freeing operations teams to focus on exception handling.
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