Rabobank – Arrow C&E
A highly efficient workflow offering a seamless user experience in the form of a single front-end tool for the entire Credit Risk process for Rabobank’s Wholesale banking clients. This tool offers automated data capture, enabling Rabobank to realize operational efficiency; improved data quality and faster turnaround times.
Their challenge
Challenge: Initially, writing a credit application was mostly a manual exercise, based on non-automated and non-digitalized processes. This all took place in a scattered IT landscape with few interfaces between existing data systems.
Objective: To create a single workflow tool to facilitate the entire end-to-end Wholesale Credit Risk journey (i.e., from prospecting to credit approval) globally with automated data retrieval from Rabobank’s data systems.
Target group: Business users (e.g., credit analysts, risk officers) – representing all business lines and regions around the world.
Our solution
The journey towards ARROW’s initial go-live demanded intensive collaboration, involving an agile team consisting of a Rabobank product owner, an architect, business analysts, test specialists and Finaps engineers. Development of the MVP application was completed within a year and followed by a substantial second release half a year later. This extension entirely replaced a package solution with (too) many Rabobank specific customizations. Both the commercial and credit approval processes are now available within a single environment. Data enrichment is facilitated via manual input by the business users in addition to automated integrations with external data systems. Further enhancements and feature releases have continued to extend the application within Rabobank’s broader IT landscape. Continuining still to this day, with both Finaps and Rabobank engineers working hard to maintain ARROW Credit & Engagement at the highest possible standard within Wholesale Banking.
Functionalities
The application contains a diverse set of functionalities. Among the most notable is allowing business users to collaboratively write a Credit Risk Assessment report, which was achieved by integrating an extensive Rich Text Editor within the application. This tool provides highly-valued features for users, including tracked changes, commenting and locking. A more technical – but important – functionality is an additional layer of security which adds contextual data (e.g., business lines, regions, client access) obtained from an external system on top of a user’s role. This allows us to restrict access to sensitive data based upon rules determined by Compliance teams. Other notable functionalities are advanced document generation, automated e-mails and tasks, configurable stubs for testing, versioned data templates, custom made monitoring (i.e., auditing and logging) and a facilitating Q&A process between users during credit approval.
Transforming the credit application creation process from manual to automated
