Generali builds centralized data and AI platform on AWS with Amazon Bedrock and SageMaker
Generali, an insurance and asset management group, built a central data, analytics, and AI solution on AWS to standardize common workflows across more than 40 operating entities. The platform centralizes data access for shared processes such as claims and underwriting, helping teams avoid duplicated efforts and scale AI applications across the company.
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Generali
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Customer Stories
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 5
- 1Claims processing
- 2Underwriting
- 3Predictive modeling
- Standardize and scale AI applications across more than 40 operating entities.
- Centralize data access for shared workflows such as claims and underwriting.
- Improve cost efficiency, technical results, and customer experience.
- Generali migrated existing analytics solutions to AWS and created a central data and analytics foundation using Amazon Redshift and AWS Glue.
- The company uses Amazon SageMaker AI to build, train, and deploy machine learning models for automation and predictive modeling.
- Generali uses Amazon Bedrock to power a generative AI assistant that provides automated responses to customer assistance requests and supports claim settlements and quotations.
- The company built 16 flagship AI use cases spanning pricing, underwriting, claim processing, and operations, and made them reusable through a centralized Global AI engine.
- Generali reported more than EUR 200 million in operating cost savings over three years.
- The company improved eligibility and claim amount accuracy.
- It processes more than 21 million API calls per month and reduced claim settlement time from several days to about one day, or seconds for simple health claims.
- Generali increased the number of AI applications from 5 to more than 50 in three years.
Architecture
Generali collects data from group sources and operating entities, migrates analytics to AWS, and uses a central data and analytics layer built on Amazon Redshift with AWS Glue for integration and transformation. Amazon SageMaker AI supports ML automation and predictive modeling, while Amazon Bedrock powers a generative AI assistant for customer responses and process support.
Sources & evidence1
- Customer explicitly identified
- Primary source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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