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Guidance for Fraud Detection with Intelligent Document Processing on AWS

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Overview

This Guidance demonstrates how to build a comprehensive intelligent document processing (IDP) workflow that combines AWS AI services for enhanced fraud detection and data extraction. By leveraging key services like Amazon Bedrock and Amazon SageMaker AI, organizations can transform their document handling processes, achieving faster, more accurate, and secure business operations. This Guidance reduces development time by up to 80 percent while incorporating intelligent data extraction, computer vision for tampering detection, and automated reasoning checks to verify AI-generated insights.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Benefits

Transform manual document review with AI-powered processing that combines data extraction, tampering detection, and automated verification. Process diverse document types simultaneously through standardized workflows that deliver faster, more accurate results.

Identify document tampering through computer vision models that analyze submitted images for manipulation. Combine visual analysis with automated reasoning checks to verify AI-generated insights, creating multiple layers of fraud detection capabilities.

Create standardized document processing blueprints that extract critical information from various document formats. Enable analysts to focus on decision-making rather than manual data extraction, with AI-generated summary reports and automated notifications.

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.