What challenges did Generali face before AI implementation?

Modernize core insurance processes across a globally distributed organization. Automate repetitive and complex workflows while improving customer experience. Support IFRS 17 compliance with predictive analytics and complex financial simulations.

What was the impact of the AI solution?

Generali reports smoother and immediate claims settlement through bank transfer for simple auto accidents. The company says predictive analytics and automation support faster development cycles, with projects completed in weeks or months instead of years. Generali has put more than 80 predictive models into production as part of its Google Cloud work.

Source

GCPExpandedEvidence: Low40/100

Generali automates insurance claims and predictive analytics with Google Cloud AI

Use case typeClaims automationUpdated Jun 13, 2026

Generali Group, one of Europe’s largest insurers, is modernizing core business processes and customer experiences across nearly 50 countries. The company is using Google Cloud AI and data tools to support insurance workflow automation, compliance-driven predictive analytics for IFRS 17, and computer-vision-based claims processing.

Organization: Generali
Industry: Insurance
Location: Italy
Published: January 2024

Reported outcomes

Strategic outcomes

Customer experience & trustEnabled immediate claims settlementSpeed & agilityAccelerated development cyclesBetter decisions & insightDeployed predictive models into productionNew product / capabilityAutomated claims processing and virtual assistance

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Generali
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Claims processing automation
2Predictive analytics
3Computer vision

Modernize core insurance processes across a globally distributed organization.
Automate repetitive and complex workflows while improving customer experience.
Support IFRS 17 compliance with predictive analytics and complex financial simulations.

Generali collaborated with Google Cloud to build an end-to-end data management and smart analytics environment.
The company uses Google Cloud AI/ML tools to automate repetitive processes, including virtual assistants for knowledge base access and automated claims processing.
For simple auto accident claims, policyholders upload claim information and photos, and the AI-automated process estimates claim value and delivers a cash settlement quickly.
Generali uses Cloud AutoML, AutoML Vision, and Cloud TPU for computer-vision-based claims automation and scaled ML processing.

Technologies

Cloud AutoML AutoML Vision Cloud TPU Google Cloud AI/ML

Generali reports smoother and immediate claims settlement through bank transfer for simple auto accidents.
The company says predictive analytics and automation support faster development cycles, with projects completed in weeks or months instead of years.
Generali has put more than 80 predictive models into production as part of its Google Cloud work.

Architecture

The article describes a Google Cloud-based environment for data management, smart analytics, and ML automation. It mentions an innovation lab, predictive models, automated claims processing, virtual assistants, and a Cloud AutoML/AutoML Vision/Cloud TPU-based claims workflow, but does not provide a detailed reference architecture diagram.

Sources & evidence1

Evidence: Low40/100Evidence strength