What challenges did TrueClaim face before AI implementation?

Legacy on-premise systems were costly, slow, and difficult to scale. Manual claims verification was prone to errors and slow, reducing customer satisfaction. The company needed a scalable, flexible cloud solution to handle fluctuating workloads and improve fraud detection.

What was the impact of the AI solution?

Claims processing speed improved by 70%, significantly reducing lifecycle times. Enhanced fraud detection accuracy and speed reduced fraudulent claims. Lower operational costs due to cloud migration and automation reducing manual tasks and hardware expenses. Improved customer satisfaction through faster and more accurate claims handling. A scalable, secure system built for ongoing growth and innovation.

Source

TrueClaim Insurance Claims Automation with AWS AI

Use case typeClaims automationUpdated Jun 13, 2026

TrueClaim, a modern insurance claims processing company, partnered with TekBay Digital Solutions and AWS to implement a cloud-native AI-powered platform for automating document understanding, fraud detection, and claims validation. The solution integrates AWS AI services including Amazon Textract, Amazon Bedrock with GPT-OSS-20B, Amazon SageMaker, and other AWS infrastructure services to achieve intelligent, scalable, and efficient claims processing. This implementation has modernized and automated TrueClaim's insurance claims workflows, improving processing speed, accuracy, fraud detection, and scalability.

Organization: TrueClaim
Industry: Insurance
Location: United States
Published: March 2026

Reported outcomes

+70%

timeTime & speed

Strategic outcomes

Speed & agilityAutomated and accelerated claims processingRisk & complianceImproved fraud detection accuracyCost efficiencyLowered operational costsCustomer experience & trustImproved customer satisfaction

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Claims Automation
2Fraud Detection
3Document Processing

Legacy on-premise systems were costly, slow, and difficult to scale.
Manual claims verification was prone to errors and slow, reducing customer satisfaction.
The company needed a scalable, flexible cloud solution to handle fluctuating workloads and improve fraud detection.

TekBay Digital Solutions helped TrueClaim transition to AWS Cloud, using Amazon Textract for document data extraction, Amazon Bedrock for NLP and fraud detection with GPT-OSS-20B, Amazon SageMaker for fraud model training and deployment, and AWS Lambda for serverless compute.
The solution uses Amazon RDS PostgreSQL for highly available transactional data storage, Amazon API Gateway for managing API calls, and Amazon CloudWatch for monitoring and alerts.
The architecture uses multi-availability zones and serverless computing to ensure scalability, high availability, and resilience against failures.

Technologies

Amazon Textract Amazon Bedrock Amazon SageMaker Amazon API Gateway Amazon RDS PostgreSQL AWS Lambda Amazon CloudWatch

Claims processing speed improved by 70%, significantly reducing lifecycle times.
Enhanced fraud detection accuracy and speed reduced fraudulent claims.
Lower operational costs due to cloud migration and automation reducing manual tasks and hardware expenses.
Improved customer satisfaction through faster and more accurate claims handling.
A scalable, secure system built for ongoing growth and innovation.

Architecture

The architecture employs multi-AZ deployment for high availability, serverless AWS Lambda functions for scalable computing, Amazon Textract for document data extraction, Amazon Bedrock GPT-OSS-20B for NLP and fraud detection, Amazon SageMaker for training and deploying fraud detection models, Amazon API Gateway for API management, Amazon RDS PostgreSQL multi-AZ for transactional data, and CloudWatch for monitoring and alerts.

Implementation partners1

TekBay Digital Solutions

Sources & evidence1

Groundedness: 5/5

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Customer evidence