Turkey’s Quick Finans selects Provenir AI-powered Risk Decisioning Platform
By Gloria Methri
Quick Finans, a consumer finance firm located in Turkey, has selected Provenir’s AI-Powered Data and Decisioning Platform to quickly approve and onboard new customers.
Quick Finans, a wholly owned subsidiary of Quick Insurance, which is under the umbrella of Maher Holding, offers solutions for consumer finance loans (GPL), auto financing, mortgages, agricultural financing, and small business lending.
The firm was looking for a low/no-code platform that could be deployed quickly, modified in real-time, and scaled as the company expands its offerings.
“After evaluating several options, we determined that Provenir best met our requirements and could support our aggressive growth strategies,” said Cumhur Taş – Deputy General Manager responsible for Credit & Operations in Quick Finans. “The platform provides the flexibility we need to power our business now and in the future. Another key differentiator was the ability to easily access and integrate new data sources to help us gain a more holistic view of our applicants and customers.”
“We are pleased to partner with Quick Finans to develop real-time decisioning solutions that will provide a superior customer experience,” added Emre Unlusoy, Regional Manager for Provenir. “Provenir’s no-code, visual UI eliminates vendor and development team reliance, and will provide Quick Finans the flexibility and agility needed to rapidly make changes, test new strategies, and get products to market faster.”
Provenir’s Data and Decisioning Platform is data-fueled and AI-driven for smarter risk decisioning. The solution, managed through a single UI, empowers organizations to innovate further and faster, driving continuous optimization without increasing risk.
With the combination of universal access to data, embedded AI, and decisioning technology, Provenir provides a cohesive risk ecosystem to enable smarter decisions across the customer lifecycle. For instance, it offers diverse data for deep insights, auto-optimized decisions, and a continuous feedback loop for constant improvement both at onboarding when assessing risk and monitoring ongoing transactions for fraud.
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