Banca Alpi Marittime: Artificial Intelligence to speed up credit requests

Founded in 1899, Banca Alpi Marittime Credito Cooperativo di Carrù S.c.p.A., with headquarters in Cuneo (Italy), is a company that has always maintained a strong connection with its territory, placing the needs of its members and customers at the center of its mission. Part of the Italian Cooperative Credit system, this bank has been able to maintain the peculiarities of a local institution, despite belonging to a network of interconnected institutions that constitute the fourth banking aggregation in the country. Banca Alpi Marittime stands out for its support to families, farmers and small businesses in the region, with the aim of improving the economic and social lives of its members. 

To respond to this need, Banca Alpi Marittime has adopted an AI-based solution, implementing the Credit Scorecard application, which leverages advanced machine learning algorithms to automate credit line approval, dramatically reducing the time needed to evaluate and process applications. In this way, it was possible to accelerate the decision-making process without the need for human intervention, for approximately 50% of around 6,000 requests received annually by the Bank.

The transformation has led to notable results: in addition to reducing waiting times for customers, who now receive rapid responses even outside office hours, the bank has achieved significant operational savings by reassigning approximately ten full-time employees to other tasks. This has resulted in economic savings that translate into hundreds of thousands of euros every year. Furthermore, the solution made it possible to minimize risks by ensuring that all credit decisions were made in accordance with the bank's internal policies. 

The introduction of Credit Scorecard has therefore revolutionized the credit management process for Banca Alpi Marittime, improving operational efficiency and the quality of the service offered to customers, who can now count on a rapid and transparent process. In this context, the bank has demonstrated that even a small-sized company, without large internal technological resources, can benefit from the opportunities offered by AI to innovate and improve its processes, obtaining a return on investment in a short time. The solution proved to be particularly advantageous, as it not only allowed us to optimize costs, but also increased customer satisfaction, thanks to the greater speed and quality of responses.

This transformation highlights how the adoption of advanced technologies can represent a fundamental lever for cooperative credit banks, which, while maintaining a solid connection with the territory and its needs, manage to innovate effectively, achieving concrete results in terms of efficiency, savings and customer service.