Recognise Bank, one of the UK’s newest SME banks, sought a digital end-to-end loan origination system that would allow them to maintain face-to-face contact and relationship management between small businesses and their financial services providers, while delivering best-in-class digital banking capabilities. In this customer story, discover how Recognise successfully implemented nCino to honor traditional SME banking values, while also increasing efficiency and scalability across a single, digital, cloud-based platform.

Sunrise Credit Union, headquartered in Brandon, Manitoba, Canada, serves the Parkland and Western Manitoba regions with over 20 branches. Established in 2008 through a merger of five legacy credit unions, Sunrise offers personal, agriculture and business accounts to best serve its variety of members. Kelly Scott, Vice President of Information Technology, is committed to the digital transformation efforts happening at Sunrise Credit Union. Sunrise adopted nCino prior to the COVID-19 pandemic to replace disparate and disjointed systems and improve the experiences of both its members and its employees. With the nCino Bank Operating System, Sunrise can create one streamlined workflow through a single cloud-based platform.

Busey Bank, a highly adaptive institution consistently named by American Banker as one of the best banks to work for, is paving the way for growth and innovation through its use of the nCinoBank Operating System. Busey Bank implemented nCino across its Commercial line of business and later extended its use of the nCino platform into the Treasury Management Sales & Onboarding Solution.In this snapshot, discover how Busy Bank leveraged nCino to transition from manual, email-heavy processes to a single, streamlined, digital cloud-based platform, which also allows the institution to more easily scale via mergers and acquisitions.

Among the many decisions financial institutions will need to make in order to comply with the new CECL Accounting Standard Update (ASU), one of the most important is determining which method to use to estimate expected credit losses on loans and other assets measured at amortized cost.This ASU references loss rate methods, probability or default methods, and discounted cash flow methods, but how do you know which method is most appropriate for your institution? In this white paper, industry experts offer a guide to help you make the best decision for your financial institution.

In today’s transaction-driven banking environment, providing an exceptional treasury management experience and service are key factors in creating value for customers. In order to optimize treasury’s value, financial institutions (FIs) must embrace automation in their sales and onboarding processes to reduce the amount of time between when a new treasury customer says “yes” to the first time a customer receives an account analysis statement.

Digital account opening is a top priority at many financial institutions, for good reasons. With loan-to-deposit ratios above or approaching 100%, banks and credit unions can’t afford to lose out on potential deposits due to ineffective or inefficient account opening processes. A “friction-free” process is essential to the digital account opening experience but achieving this goal may be harder than it looks for institutions jumping into the DAO waters.“Not long ago, most financial institutions basically had the same digital account acquisition capabilities. Not anymore. Leading institutions are pulling away. Banks and credit unions that don’t provide end-to-end digital account opening must upgrade quickly.”
– Cornerstone Advisors

In the past, the financial services industry was slow to change. Due to the COVID-19 pandemic and consumers’ shifting preferences, however, financial institutions are rapidly adopting digital capabilities and other technologies to support quick, seamless and automated processes and better serve their customers. As the industry embraces change, emerging cognitive technologies like artificial intelligence (AI), natural language processing and machine learning are transitioning from a “nice-to-have” to established key business drivers.While banks begin to truly understand the importance of cognitive technologies, it’s imperative to understand how to fully leverage these technologies to see true business value. The time has come to transform the Agile Enterprise into the Intelligent Enterprise by fully harnessing the power of cognitive technologies to capture deeper customer insights, make informed, data-driven decisions, manage risk and increase efficiencies.

Before embarking on their digital transformation journey, WaFd Bank was a lean operation, providing few services but executing them well.

Before implementing nCino, Platinum Bank, a community bank based in the Midwest, was using paper-based processes that required manual tasks. Like many of their competitors, the Bank was looking for a cloud-based solution that would help it gain efficiency, increase transparency and offer its employees and clients a seamless digital experience.Platinum Bank went live on the nCino platform in just under six months, partnering with nCino on an accelerated delivery for incredibly fast implementation, despite additional challenges caused by the COVID-19 pandemic. With new efficiencies and automations to transform commercial lending, the Bank is now able to spend more time in business development and serving existing clients, all while delivering faster credit decisions. Powered by nCino, Platinum Bank can also grow its business loan portfolio more effectively and competitively by identifying bottlenecks in its sales processes.