Vendor-reported figures — source: ezee.ai
Nepal's community and regional banking sector faces mounting pressure from fintech entrants that offer near-instant account opening, while incumbents remain anchored to paper-based workflows designed for a different era. For this bank — operating 359 branches and serving 3 million customers — the consequences were measurable: account onboarding took 7 full business days, creating a critical disadvantage with diaspora populations who needed remote verification and could easily defect to digital-only alternatives. Manual document handling also introduced inconsistency across diverse citizenship formats, raised operational costs per account, and created compliance audit trails that were difficult to maintain at scale.
The bank deployed ezee.ai's AI-powered Video KYC platform, which uses Computer Vision and Document AI to authenticate identity documents and verify applicants in real time via video session. Rather than replacing legacy infrastructure outright, the integration relied on an API-first architecture that connected existing core banking systems to national citizenship databases and payment networks. The zero-code workflow engine allowed compliance and operations teams to configure verification rules — covering Nepal's varied citizenship document formats — without engineering involvement, compressing deployment timelines. The rollout extended across all 359 branches and 500+ ATMs, with ezee.ai maintaining 99.9% uptime throughout the transition to avoid disrupting the existing 3 million customer base.
Account opening time dropped from 7 days to under 18 hours — a 90% reduction — with no degradation in compliance posture. Operational costs for onboarding fell 66%, and diaspora customer Net Promoter Score rose 25 points, reflecting the shift from a friction-heavy branch visit to a remote video session.
Additional outcomes within 12 months:
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