nCino, Inc, a leading global provider of cloud banking services and digital transformation has revealed that Rabobank Australia and New Zealand (RANZ), will be utilizing nCino’s Automated Spreading solution, backed up by nCino IQ (nIQ). This collaboration will enable the users of New Zealand and Australian banks, signifying cross-country, multi-currency responsibility to offer an enhanced banking experience.
Alexa Glynn, Chief Operating Officer at RANZ, stated, “By partnering with nCino, we will optimise our financial spreading analysis. This relationship will provide an excellent opportunity for RANZ to support our growing customer base and modernise our systems. We’re delighted that nCino’s technology will enable us to offer our customers and employees a better banking experience.”
Rabobank, the world’s largest leading specialized food and agribusiness bank, is among Australia and New Zealand’s top agricultural lenders and an important supplier of commercial and corporate banking services to the nation’s agribusiness and food industry.
By implementing the nCino Bank Operating System, RANZ gets a digital tool that, by utilizing machine learning and optical character recognition, intelligently alters the dissemination of financials (OCR).
Mark Bernhardi, Managing Director of Australia and New Zealand at nCino, commented, “Rabobank’s customers value their relationship managers’ close connection to their business. To effectively build on this connection, Rabobank Australia and New Zealand procured a platform that can leverage artificial intelligence (AI), machine learning and analytics to increase data automation and generate meaningful insights. We’re excited to partner with RANZ to help them achieve their goals and enhance their services through digital transformation. This partnership will enhance RANZ’s commitment to creating value for their customers, employees and the communities in which they do business.”
By drastically reducing the time it takes to spread and process documents with nCino’s Automated Spreading system, RANZ will be able to increase its profitable portfolio through faster and higher-quality credit judgments. The institution will be able to automate low-complexity, high-volume tasks by implementing such solutions, giving its staff more time to concentrate on improving client connections.