Normalized claim
Manual review time saved: 100 hours decrease
AWS Amazon Comprehend Customers and PartnersMay 27, 2026Customer storyExplicit claimMedium evidence strength
saved them hundreds of hours in manually reviewing documents
Assent Compliance: Automated compliance document understanding with Amazon Textract and Amazon Comprehend
Use case typeIntelligent document processingUpdated Jun 13, 2026
Assent Compliance processes compliance documents at scale by extracting data of interest from images and PDFs. The workflow uses Amazon Textract OCR to extract text, Amazon Comprehend for context-aware entity extraction, and Amazon Augmented AI for human review. AppSync and Amplify support an end-to-end ingestion and risk-assessment workflow, with feedback used to improve models over time.
- Organization
- Assent Compliance
- Industry
- Finance
- Location
- United States
- Published
- May 2026
Reported outcomes
Manual review time saved: 100 hours
Time & speed
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Assent Compliance
- Provider
- AWS
- Maturity
- Scaled Production
- Linked source
- AWS Amazon Comprehend Customers and Partners
Assent Compliance processes compliance documents at scale by extracting data of interest from images and PDFs
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Intelligent Document Processing
- 2Compliance Automation
- 3Human-in-the-loop AI
- Amazon Textract extracts text from forms, tables, and free-form documents.
- Amazon Comprehend extracts business-specific entities and their values from text.
- Amazon Augmented AI routes extracted fields to humans for review and feedback.
- AWS AppSync and AWS Amplify are used to build the workflow and connect the ingestion and review steps.
- The approach combines machine extraction with human-in-the-loop validation to improve model quality over time.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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