What challenges did Audi face before AI implementation?

Manual processing of unstructured documents is costly, slow, error-prone, and resource intensive across several industries. Handling a wide variety of document types with varying layouts, such as insurance claims, legal filings, and mortgage applications, complicates automation efforts. Ensuring regulatory compliance and data privacy demands automated sensitive data redaction at scale.

What was the impact of the AI solution?

Reduces manual document processing costs and effort significantly, accelerating customer response times. Enhances accuracy and regulatory compliance through automated information extraction and sensitive data redaction. Improves overall operational efficiency and business insights with generative AI-powered document understanding. AWS IDP has been deployed in industries including insurance, legal, mortgage, public sector, with Audi highlighted as a key user in automotive procurement.

Source

AWS Intelligent Document Processing Uses Generative AI for Automated Document Workflows

Use case typeIntelligent document processingUpdated Jun 13, 2026

AWS Intelligent Document Processing (IDP) offers generative AI-powered automation to process unstructured data such as documents, audio, video, and images. The challenge is the high cost, slow speed, and error rates of manual document processing workflows in industries like insurance, legal, mortgage, and public sector. IDP leverages Amazon Textract for OCR, Amazon Comprehend for NLP, and Amazon Bedrock for generative AI to extract, classify, analyze, redact sensitive data, and summarize information at scale to improve operational efficiency. Audi uses AWS IDP to automate document workflows, enhancing accuracy and speed in procurement processes.

Organization: Audi
Industry: Insurance
Location: United States
Published: April 2026

Reported outcomes

Strategic outcomes

New product / capabilityAutomated document classification and extractionRisk & complianceAutomated sensitive data redactionCustomer experience & trustAccelerated customer response timesBetter decisions & insightImproved operational insights

Primary read

Use case focus

Showing 3 of 3

1Intelligent Document Processing
2Generative AI
3Workflow Automation

Manual processing of unstructured documents is costly, slow, error-prone, and resource intensive across several industries.
Handling a wide variety of document types with varying layouts, such as insurance claims, legal filings, and mortgage applications, complicates automation efforts.
Ensuring regulatory compliance and data privacy demands automated sensitive data redaction at scale.

AWS Intelligent Document Processing uses Amazon Textract for text extraction, Amazon Comprehend for natural language understanding, and Amazon Bedrock for generative AI-enhanced summarization and insights.
The solution automates classification, information extraction, data analysis, and sensitive information redaction from large volumes of variable document data.
Pre-built APIs and integration make handling diverse document workflows scalable and allow organizations to shift more resources to higher-value tasks.

Technologies

Amazon Textract Amazon Comprehend Amazon Bedrock

Reduces manual document processing costs and effort significantly, accelerating customer response times.
Enhances accuracy and regulatory compliance through automated information extraction and sensitive data redaction.
Improves overall operational efficiency and business insights with generative AI-powered document understanding.
AWS IDP has been deployed in industries including insurance, legal, mortgage, public sector, with Audi highlighted as a key user in automotive procurement.

Sources & evidence1

Groundedness: 4/5

Primary source

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