Flowpay, a fintech startup, began its journey with a lot of data and one idea: provide simple, online, operational financing for small and medium-sized enterprises (SMEs) across the Czech Republic. After seeing great progress in its first market, Flowpay was ready to target customers in other countries. When it is preparing to enter new markets, Flowpay must collect metadata to categorize Payment Services Directive (PSD2) transaction data from prospective customers. Historically, this has been a very time-consuming process for Flowpay. The team knew they needed to revise their approach in order to achieve their growth goals.
Flowpay began collaborating with IBM® Client Engineering as part of IBM’s Fintechx program and it joined a series of innovation workshops. The firm’s goal was to strengthen its processes by implementing generative AI. The partnership resulted in the creation of two AI-assisted processes that were built and tested by seven users over the course of a four-week pilot. The first one is designed to accelerate and simplify the metadata creation process, and the second one automates the creation of an underwriting report. Both processes rely on IBM watsonx.ai™, an enterprise-grade AI studio designed for secure, collaborative data management and process automation.