How Intesa Sanpaolo Built Its Democratic Data Lab with Google Cloud to Enhance Risk Management and Democratize Data Access

By: GoBeyond Team
August 10, 2026
3 min read
Intesa Sanpaolo AI-powered Democratic Data Lab dashboard showing risk insights and real-time reporting

Quick Overview

Intesa Sanpaolo developed the Democratic Data Lab on Google Cloud to empower its risk management teams and democratize data access across departments. The platform integrates Vertex AI, Gemini, BigQuery, and Looker to unify lab and production environments, enabling faster development and deployment of risk management solutions. It automates data extraction and model training, reduces regulatory reporting time, and fosters collaboration, improving oversight and control of financial risks in complex markets.

Intesa Sanpaolo
Intesa Sanpaolo
Company Size
~90,000 employees
Revenue Range
$30B+ annual revenue
Primary Challenge
Keeping pace with rapidly evolving financial risks and regulatory demands while improving data accessibility and operational efficiency
Key Metrics

- 20-30% faster release of risk management solutions
- Up to 80% reduction in regulatory stress test completion time
- 30% faster data extraction and loading for risk modeling
- Real-time risk reporting with Looker dashboards
- Increased collaboration and unified workflows
- Reduced manual data processing with Gemini 1.5 AI

The Problem

On-premise analytics labs caused delays due to separate development and production environments, limited scalability, and slow regulatory reporting

The Solution

Built a cloud-native Democratic Data Lab using Google Cloud services (Vertex AI, Gemini, BigQuery, Looker) to unify environments, automate data workflows, and enable real-time insights and reporting

Results

- Accelerated risk solution development and deployment
- Improved regulatory compliance and reporting speed
- Enhanced data-driven decision-making
- Empowered broader organizational data access and collaboration
- Reduced repetitive manual work for analysts

“Gemini is outperforming our expectations, saving analysts hours of repetitive work and enabling more valuable tasks.”“We are building towards our target together, becoming more data-driven to keep pace with evolving financial risks.”

Giorgio Bella, Head of IT & Cyber Risk Analysis and ControlsDomenico Fileppo, Executive Director - Operational, IT and Cyber Risk Management

Details

Industry
Finance & Banking
Departments
Data & Analytics
Use Cases
Data Analysis
Tags
Predictive Modeling
Machine Learning
AI Tools Used
No items found.
Sources
https://cloud.google.com/customers/intesasanpaolohttps://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leadershttps://www.linkedin.com/posts/miloneantonio_intesa-sanpaolo-case-study-activity-7267920602018050049-uISBhttps://www.linkedin.com/posts/nicolasgaviola_intesa-sanpaolo-case-study-activity-7268170565230727168-bQZchttps://www.intesasanpaoloinnovationcenter.com/en/applied-research/artificial-intelligence-lab/https://group.intesasanpaolo.com/en/investor-relations/annual-reports/2024

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