KYC optimization: intelligent onboarding and identity verification
Our intelligent KYC onboarding reached 90–99% auto-approval for standard cases and cut onboarding time from days to under five minutes.
AI and Software Development
Year:
2010
Client:
Scotiabank
Duration:
2010-2011
KYC optimization: intelligent onboarding and identity verification
Our intelligent KYC onboarding reached 90–99% auto-approval for standard cases and cut onboarding time from days to under five minutes.
AI and Software Development
Year:
2010
Client:
Scotiabank
Duration:
2010-2011
KYC optimization: intelligent onboarding and identity verification
Our intelligent KYC onboarding reached 90–99% auto-approval for standard cases and cut onboarding time from days to under five minutes.
AI and Software Development
Year:
2010
Client:
Scotiabank
Duration:
2010-2011
Brief
Slow onboarding and friction in manual identity verification put the client at risk of significant customer loss, especially among Gen Z applicants, with high abandonment rates, all while it had to comply strictly with AML and KYC standards.
Description
We implemented zero-touch verification workflows for low-to-medium risk customers, computer-vision AI for forensic document analysis to detect micro-forgeries, biometric liveness detection and facial comparison, and real-time data triangulation against mobile and device data.
Technologies: Computer vision AI, Biometric liveness detection, Socure, iDenfy / IDScan.net, Fenergo (CLM), Dynamic friction (risk-based approach), Data warehouse
Outcome
90–99% auto-approval rates for standard cases; onboarding time reduced from days to under five minutes; a 30% reduction in overall customer acquisition costs; and significantly higher verification rates for "thin file" Gen Z applicants.
Brief
Slow onboarding and friction in manual identity verification put the client at risk of significant customer loss, especially among Gen Z applicants, with high abandonment rates, all while it had to comply strictly with AML and KYC standards.
Description
We implemented zero-touch verification workflows for low-to-medium risk customers, computer-vision AI for forensic document analysis to detect micro-forgeries, biometric liveness detection and facial comparison, and real-time data triangulation against mobile and device data.
Technologies: Computer vision AI, Biometric liveness detection, Socure, iDenfy / IDScan.net, Fenergo (CLM), Dynamic friction (risk-based approach), Data warehouse
Outcome
90–99% auto-approval rates for standard cases; onboarding time reduced from days to under five minutes; a 30% reduction in overall customer acquisition costs; and significantly higher verification rates for "thin file" Gen Z applicants.
Brief
Slow onboarding and friction in manual identity verification put the client at risk of significant customer loss, especially among Gen Z applicants, with high abandonment rates, all while it had to comply strictly with AML and KYC standards.
Description
We implemented zero-touch verification workflows for low-to-medium risk customers, computer-vision AI for forensic document analysis to detect micro-forgeries, biometric liveness detection and facial comparison, and real-time data triangulation against mobile and device data.
Technologies: Computer vision AI, Biometric liveness detection, Socure, iDenfy / IDScan.net, Fenergo (CLM), Dynamic friction (risk-based approach), Data warehouse
Outcome
90–99% auto-approval rates for standard cases; onboarding time reduced from days to under five minutes; a 30% reduction in overall customer acquisition costs; and significantly higher verification rates for "thin file" Gen Z applicants.
Raúl Olivares
Director de Sistemas y Arquitectura
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Raúl Olivares
Director de Sistemas y Arquitectura
Raúl Olivares
Director de Sistemas y Arquitectura
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