Banking on Intelligence: Anthony Morris on Embracing AI and Technology Transformation in Banking
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Recently, nCino had the opportunity to hear from industry leaders across the Nordic region—from established giants to innovative challengers.
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Over the past year, nCino hosted senior banking executives at breakfast briefings across Benelux and the Nordics to discuss AI's role in credit risk and lending.
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This analysis is based on Celent's Global Commercial Banking Onboarding Survey 2025, surveying 409 banking professionals across North America, EMEA, and Asia-Pacific, representing financial institutions ranging from $10 billion to $500 billion+ in assets.
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This analysis is based on Celent's Global Commercial Banking Onboarding Survey 2025, surveying 409 banking professionals across North America, EMEA, and Asia-Pacific, representing financial institutions ranging from $10 billion to $500 billion+ in assets.
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Established in 1926, Banque Raiffeisen is a cornerstone of Luxembourg's financial sector, known for its commitment to supporting and working in the best interest of customers. With nearly a century of service, the bank has built its reputation on strict governance standards and customer-centric operations.
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Commercial banking leaders face a stark reality: onboarding is expensive, time-consuming, and increasingly critical to competitive success. The question is no longer whether to modernize onboarding—it's whether you'll lead the transformation or be left behind.
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Getting a mortgage is one of the biggest financial decisions most people will ever make. Yet borrowers are often met with long waiting times, mountains of paperwork, and a frustrating, opaque process that leaves them in the dark about their application status.
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Written by Will Jung, Chief Technology Officer, nCino
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Many financial institutions are no longer asking whether they need automation. Instead, they’re asking which platform can prove it works. When multi-million dollar investments hang in the balance, decision-makers demand confidence through live validation rather than speculation based on feature lists. The stakes are too high for theoretical capabilities alone. Executives responsible for enterprise-wide technology implementations seek demonstrations that verify performance against their specific legacy systems and operational realities.
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