The Bank Goes Digital

Slow and inaccurate credit evaluation processes

Credit evaluation procedures are often complex and time-consuming, with manual analyses that slow down disbursement and increase the risk of errors. This negatively impacts the customer experience and the reliability of financial decisions.

To solve the problem, we introduced Business Process Improvement (BPI) methodologies and Artificial Intelligence (AI) to automate and refine the decision-making process. The result? Drastically reduced response times, more precise evaluations, and a more efficient and scalable system.

Ineffective credit monitoring and high risk of efault

The absence of predictive tools for credit monitoring increases the risk of default and makes litigation management complex. The lack of real-time data limits the ability to intervene promptly to prevent critical situations.

We therefore developed advanced analysis and monitoring solutions based on predictive models, improving the ability to detect potential risks and optimizing collections management. This has led to a significant increase in the success rate and a reduction in recovery times.

Obsolete infrastructure and unresponsive banking services

Traditional mainframe applications, which are rigid and costly to maintain, limit the ability of financial institutions to innovate and respond quickly to market needs. Furthermore, home banking and mobile banking platforms often lack advanced integrations.

We addressed the problem by migrating mainframe systems to the cloud, improving scalability and operational efficiency. Simultaneously, we enriched the digital platforms with new features, such as the instant activation of digital cards integrated with services like Nexi.
These innovations have made financial services smoother, safer, and more accessible for end-users.