Risk decisioning software provider Provenir announced on Wednesday that automotive financing provider GoFi has selected and implemented Provenir’s data and decisioning platform to assess applicant credit risk quickly for real-time financing approvals.

GoFi is an AI-centric, digital-first financing platform. Built on a proprietary loan origination system and powered by its integrated machine learning algorithms, GoFi provides auto-decisioned responses across the full credit spectrum.

Through simple, intuitive offers, GoFi aims to help partners expand their brand impact and deliver a better customer experience.

“We selected Provenir for several reasons, most importantly, for the platform’s flexibility and customization options. It also allows us to quickly and easily integrate with many different platforms which will allow our business users to take the reins,” GoFi senior director Daniel Garland said in a news release.

“We have been able to implement a fully customizable solution that meets our business needs with the vast majority of the implementation being done by our business users,” Garland continued.

Provenir’s credit risk decisioning platform combines universal access to data, embedded analytics and sophisticated decisioning technology. It’s designed to provides a cohesive risk ecosystem to enable smarter decisions across the entire customer lifecycle — with diverse data for deeper insights, auto-optimized decisions and a continuous feedback loop for constant improvement.

“We are pleased to partner with GoFi to power the real-time risk decisioning needed to provide the very best customer experience,” said Kathy Stares, executive vice president for North America at Provenir. “From global car manufacturers to independent auto lenders, Provenir empowers auto financing providers of all sizes to make accurate decisions faster while minimizing risk and preventing fraud.

“Provenir’s data and decisioning capabilities enable our auto financing clients to respond on-the-fly to changing market dynamics and deliver real-time insights to inform smarter decisions,” Stares went on to say.