Nintex > Case Studies > Red River Bank's Rapid Deployment of Nintex Process Platform for COVID-19 Relief Funds

Red River Bank's Rapid Deployment of Nintex Process Platform for COVID-19 Relief Funds

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Technology Category
  • Application Infrastructure & Middleware - Event-Driven Application
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Finance & Insurance
  • Marine & Shipping
Use Cases
  • Leasing Finance Automation
  • Retail Store Automation
About The Customer
Red River Bank is the sixth largest Louisiana-based community bank, providing a fully integrated suite of banking products and services tailored to the needs of commercial and retail customers. Since its founding in 1999, Red River Bank has grown to $2 billion in assets and 25 locations across Louisiana. The bank prioritizes business process improvements and is always on the lookout for integrated solutions that blend people and technology to enhance scalability, capacity, and efficiency. The bank's Chief Operations Officer, Jeff Theiler, oversees all aspects of bank operations and technology, including efforts to improve productivity with business process automation.
The Challenge
Red River Bank, the sixth largest Louisiana-based community bank, was faced with the challenge of rapidly processing and distributing Paycheck Protection Program (PPP) loans to support businesses during the COVID-19 pandemic. The U.S. Treasury had implemented the PPP and utilized banks to process and distribute the funds. Red River Bank needed a solution to onboard, process, and submit applications for Small Business Administration (SBA) approval. The bank was under immense pressure as the PPP funding was limited and would be exhausted before they could even get started. The business banking software providers they consulted with said their solutions would be ready at least one week after the government finalized PPP requirements, which was too long for Red River Bank.
The Solution
Red River Bank decided to build its own solution using the Nintex Process Platform, which included Nintex Forms, Nintex Workflows, and Nintex DocGen with a connector to DocuSign for electronic signatures. Aaron Nation, VP and Chief Data Officer at Red River Bank, designed an online application and workflow process using the Nintex Process Platform. Within thirty-six hours, Nation had refined his proof of concept using Nintex Workflow Cloud to capture information required in the Small Business Administration’s preliminary application, generate a loan application document, collect required documents, and overlay a web form so the customer could complete the required fields. The solution included a digital lender application form, Nintex connector to DocuSign for electronic signature, task assignments to the credit administration and loan operations departments, and integration with the bank’s loan tracking software through the Nintex Web Services Connector.
Operational Impact
  • The Nintex solution was a huge success for Red River Bank and its customers. The bank was one of the first to market with PPP loans in the region, beating national competitors by several days. The first application came in just 34 minutes after the bank sent a notification email to customers. While the bank expected about 400 applications in all, they reached that milestone in just 72 hours and went on to log more than 1,400 applications for almost $200 million before the government closed the funding a week later. Despite the unexpected loan volume, the Nintex-built solution, together with the bank’s dedicated team, delivered for customers. The bank was able to process the loan applications as quickly as it had brought the application online, demonstrating the effectiveness of the Nintex solution in meeting unexpected demand and providing critical support during an unprecedented economic crisis.
Quantitative Benefit
  • Rapid deployment within 36 hours vs one or more weeks with packaged solutions
  • Online application and electronic document capture in one-step
  • 1,400+ applications onboarded

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