ProductionEvidence: Low40/100

Enabling Digital Automation in Intelligent Document Processing (IDP) for Public Sector Partners and Customers Using AWS AI

Use case typeIntelligent document processingUpdated Jun 13, 2026

King County Assessor's Office in Washington faced high document processing delays and errors due to large volumes of diverse paper documents and manual processing constraints. They implemented an intelligent document processing (IDP) automation solution using AWS AI services including Amazon Textract, Amazon Comprehend, Amazon Augmented AI (A2I), AWS Lambda, S3, SQS, Step Functions, API Gateway, and Amazon Kendra to extract, classify, review, and search document data. The automated workflow reduced manual data entry errors, improved processing speed and scalability, enhanced transparency with human-in-the-loop reviews, and enabled staff to focus on higher-value work improving constituent services.

Organization
King County Assessor's Office
Industry
Public Sector
Location
United States
Published
November 2021
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
King County Assessor's Office
Provider
AWS
Maturity
Production

Understaffing and regulatory compliance added to operational challenges for document processing

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Intelligent Document Processing
  • 2Automation
  • Utilized AWS AI services such as Amazon Textract for extracting text/data from varied document types including handwritten and scanned records.
  • Amazon Comprehend was used for natural language classification and entity extraction.
  • Amazon Augmented AI (A2I) provided human review workflows for predictions with low confidence.
  • AWS Lambda, Step Functions, SQS, API Gateway orchestrated secure, scalable workflow integration and notifications.
  • Amazon Kendra enabled natural language enterprise search of document content and extracted data.
Technologies
Amazon TextractAmazon ComprehendAmazon Augmented AI (A2I)AWS LambdaAmazon Simple Storage Service (S3)Amazon Simple Queue Service (SQS)AWS Step FunctionsAmazon API GatewayAmazon Kendra
Architecture

The architecture involves ingestion of documents into an S3 bucket, processing message queues in SQS, invoking Lambda to drive Step Functions workflows that initiate Textract for extraction, Comprehend for classification, A2I for human review, and storing results back for search with Kendra and integration into downstream Records Management Systems.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Type: Blog PostPublished: Nov 29, 2021Publisher: AWS Machine Learning BlogEvidence: VendorConfidence: Medium
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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