What was the impact of the AI solution?

Reduced manual effort and processing time for insurance claims and underwriting. Increased data extraction accuracy to over 95%. Streamlined operational workflows in insurance provider environments. Improved accuracy and compliance in document handling.

Source

Dedicatted GenAI-Powered Intelligent Document Processing for Insurance Claims

Use case typeIntelligent document processingUpdated Jun 13, 2026

Dedicatted, an insurance industry company, handled challenges with massive volumes of insurance documents including FNOL and claims packets, where manual processing slowed resolution and increased errors and compliance risks. Dedicatted implemented an Intelligent Document Processing (IDP) solution using AWS Generative AI services such as Amazon Textract, Amazon Bedrock, and Amazon Comprehend. The solution automatically extracts, classifies, and routes critical data in insurance documents, speeding up claims processing, improving accuracy, and streamlining underwriting. The delivery process involved workshops, solution design, AWS deployment, LLM evaluation, workflow integration, testing, and training. This AI-powered solution reduced manual effort, increased efficiency, achieved over 95% data extraction accuracy, and integrated seamlessly with core insurance workflows.

Organization: Dedicatted
Industry: Insurance
Location: United States
Published: May 2026

Reported outcomes

+95%

accuracyQuality & accuracy

Strategic outcomes

New product / capabilityAutomated insurance document processingSpeed & agilityFaster claims and underwriting processingRisk & complianceImproved document handling complianceScale & capacityStreamlined high-volume operational workflows

Catalog median for quality & accuracy deployments: +90% across 282 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1Intelligent Document Processing
2Document Automation

Manual processing of high volumes of insurance documents resulted in slow resolutions, errors, and compliance risks.

Employed AWS generative AI services including Amazon Textract for OCR, Amazon Bedrock for large language models, and Amazon Comprehend for NLU tasks.
Conducted workshops to understand workflows and plan the solution architecture.
Deployed AI models to automatically extract data from claims, policies, underwriting docs.
Integrated custom workflows into existing core insurance systems such as Guidewire and CRM.
Performed testing, optimization, and training for effective adoption.

Technologies

Amazon Textract Amazon Bedrock Amazon Comprehend

Reduced manual effort and processing time for insurance claims and underwriting.
Increased data extraction accuracy to over 95%.
Streamlined operational workflows in insurance provider environments.
Improved accuracy and compliance in document handling.

Sources & evidence1

Groundedness: 4/5

Primary source

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