What challenges did Liberty Mutual face before AI implementation?

Modernize and automate high-volume financial transaction processing across disparate lines of business. Reduce operational burden and failure risk in a complex insurance system. Improve speed to market and lower infrastructure management overhead.

What was the impact of the AI solution?

FCS processes 100 million transactions in a single monthly run. Processing one million transactions costs $60. Application build time dropped from 1 year to 3 months. The company deployed over 3,500 serverless patterns in one year, improving reuse and onboarding. The serverless architecture improved flexibility and resilience while reducing infrastructure maintenance burden.

Rank#556of 3,449

Source

ProductionEvidence: Medium55/100

Liberty Mutual reduces costs and improves time to market with serverless workflow automation on AWS

Use case typeBusiness process automationUpdated Jun 13, 2026

Liberty Mutual Insurance modernized its Financial Central Services (FCS) transaction processing by moving to a serverless-first architecture on AWS. The company consolidated disparate lines of business into a centralized general ledger and used event-driven processing to improve resilience, reduce operational overhead, and speed delivery.

Organization: Liberty Mutual
Industry: Insurance
Location: United States
Published: May 2026

Reported outcomes

Strategic outcomes

New product / capabilityAdopted a serverless-first development modelScale & capacityCentralized transaction processingCustomer experience & trustImproved flexibility and resilience

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

Customer: Liberty Mutual
Provider: AWS
Maturity: Production
Linked source: AWS Solutions Case Study

The company consolidated disparate lines of business into a centralized general ledger and used event-driven processing to improve resilience, reduce operational overhead, and speed delivery

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Workflow automation
2Serverless modernization
3Transaction processing

Modernize and automate high-volume financial transaction processing across disparate lines of business.
Reduce operational burden and failure risk in a complex insurance system.
Improve speed to market and lower infrastructure management overhead.

Liberty Mutual built an event-driven ETL workflow using AWS Step Functions to orchestrate AWS Lambda functions and other AWS services.
The company adopted a serverless-first development model and used AWS CDK to define reusable serverless patterns.
This architecture centralized transaction processing for FCS and enabled periodic batch processing at month end.

Technologies

AWS Step Functions AWS Lambda AWS Cloud Development Kit Amazon EventBridge

FCS processes 100 million transactions in a single monthly run.
Processing one million transactions costs $60.
Application build time dropped from 1 year to 3 months.
The company deployed over 3,500 serverless patterns in one year, improving reuse and onboarding.
The serverless architecture improved flexibility and resilience while reducing infrastructure maintenance burden.

Architecture

An event-driven ETL workflow uses AWS Step Functions to sequence AWS Lambda functions and other AWS services into the Financial Central Services ledger processing flow, with AWS CDK used to define and deploy reusable serverless application patterns.

Sources & evidence1

Evidence: Medium55/100Evidence strength