GenAI to the Next Level: Success Stories That Inspire

International speakers share real world Generative AI use cases shaping the future of businesses.

CRIF is pleased to announce the upcoming webinar “GenAI to the Next Level: Success Stories That Inspire”, scheduled for Tuesday, 30 June 2026, from 10:00 to 11:00 CEST.

The session will provide an in depth look at how organizations are translating Generative AI from experimentation to measurable impact, offering practical insights and real implementation experiences.

The webinar will begin with a strategic introduction by Alessandro Vilardi, Digital Solutions Director at CRIF, who will explore market trends and the rapidly evolving role of AI in changing markets.

A high level international roundtable discussion will follow, featuring speakers from three leading institutions:

• HERA Group: Multi-utility Provider
• ING: Banking & Financial Services
• TIM: Telecom & Digital Infrastructure 

These speakers will present real GenAI use cases in customer services, analytics and AI, credit processes, sharing tangible results, lessons learned and operational insights from their respective organizations. 

CRIF’s GenAI Journey: Scalable, High Value AI for Financial Institutions

In the final segment, Mario Calo' Carducci, Senior Director - Platform & Capability Management at CRIF, will present CRIF’s GenAI Journey.
His session will highlight the company’s most relevant generative AI programmes — designed to help financial institutions adopt scalable, compliant and high impact AI solutions, building stronger decisioning workflows and accelerating transformation across core processes. 

Key Insights from the CRIF GenAI Trends 2026 Report

The webinar will also present findings from the new CRIF GenAI Trends 2026 Report, which outlines the forces reshaping the AI landscape across financial services:

1. The end of the “pilot era”
With nearly 80% of companies exploring GenAI but only a minority seeing an impact, 2026 marks the shift from experimentation to scalability, governance and execution excellence. 

2. Rise of Agentic AI
AI assistants are evolving into autonomous agents capable of multistep tasks, transforming decision making and operational workflows across credit risk, fraud and customer interaction. 

3. Domain specific and privacy preserving models (SLMs & DSLMs)
The report highlights the growing importance of small, secure, specialized language models that ensure compliance, safeguard data and enhance prediction accuracy — particularly in regulated industries. 

4. Advanced anti tampering and deepfake defences
As AI driven fraud accelerates, organizations must deploy robust document forensics and identity verification technologies to protect onboarding, KYC, AML, and credit processes. 

These insights will help participants understand not only the technology landscape, but also the strategic imperatives required to operationalize responsible AI and achieve measurable, sustainable impact.