Credit in the Age of Generative AI

Generative AI is no longer a frontier technology—it is already changing the way financial institutions around the world approach underwriting, fraud prevention, governance, and explainability. 

By enabling institutions to extract insights from unstructured data and integrate them into credit processes, generative AI unlocks signals that traditional models can’t capture on their own. At the same time, it also delivers significant efficiency gains by reducing the time required for complex analyses.

Fraud detection is becoming an increasingly critical and complex challenge. As fraudsters rapidly adopt generative AI to create synthetic identities, deepfakes, and highly personalized attacks, institutions are strengthening their defenses by deploying AI and generative AI capabilities at scale.

Generative AI also reinforces the importance of robust governance frameworks. Leading institutions are moving toward structured models that combine human oversight with advanced analytics, ensuring that AI-driven decisions remain transparent, traceable, and aligned with regulatory requirements.

In CRIF Talks—CRIF’s podcast series exploring how innovation, sustainability, and data‑driven intelligence are reshaping financial systems around the world—the episode Credit in the Age of Generative AI explores these developments. Luciano Scalise, Managing Director of Global Solutions & Transformation Services at CRIF, offers a comprehensive perspective on how generative AI is revolutionizing credit management. The episode explores how AI is not simply accelerating existing processes, but redefining how decisions are made—requiring financial institutions to combine advanced analytics, robust data foundations, and human expertise to fully unlock its potential.