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🟧AWS Machine Learning
July 1, 2026
Regulation & Policy

How Inscribe uses Amazon Bedrock to stop document fraud in seconds

Overview

Inscribe built an agentic artificial intelligence system powered by Amazon Bedrock to analyze financial documentation for signs of fraud. The system detects tampered, fabricated, and AI-generated documents in under 90 seconds by reasoning like an expert fraud analyst. This automated workflow offers a 20x improvement over manual reviews while upholding required regulatory standards.

Key Takeaways

  • Inscribe created an agentic AI solution using Amazon Bedrock that mimics the reasoning process of an expert fraud analyst.

    The platform processes financial records to uncover evidence of tampering, fabrication, or synthetic generation.

  • By automating this analysis, the tool completes reviews in under 90 seconds, delivering a 20x improvement over traditional manual review methods.

    Maintaining regulatory compliance is a central component of the deployment.

  • The platform preserves the accuracy and explainability mandated by financial services regulations while dramatically speeding up processing time.

    This deployment demonstrates how agentic AI models can be applied to high-stakes compliance tasks without sacrificing regulatory transparency.

  • Inscribe built an agentic AI system on Amazon Bedrock to identify fraudulent financial files.

    The platform analyzes tampered, fabricated, and AI-generated documents in under 90 seconds.

  • The architecture preserves the explainability and accuracy mandated by financial services regulations.
How Inscribe uses Amazon Bedrock to stop document fraud in seconds

Inscribe created an agentic AI solution using Amazon Bedrock that mimics the reasoning process of an expert fraud analyst. The platform processes financial records to uncover evidence of tampering, fabrication, or synthetic generation. By automating this analysis, the tool completes reviews in under 90 seconds, delivering a 20x improvement over traditional manual review methods.

Maintaining regulatory compliance is a central component of the deployment. The platform preserves the accuracy and explainability mandated by financial services regulations while dramatically speeding up processing time. This deployment demonstrates how agentic AI models can be applied to high-stakes compliance tasks without sacrificing regulatory transparency.

Inscribe built an agentic AI system on Amazon Bedrock to identify fraudulent financial files. The platform analyzes tampered, fabricated, and AI-generated documents in under 90 seconds. The new automated workflow achieves a 20x improvement over traditional manual review.

For more details please read the original article at AWS Machine Learning.

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Originally published by AWS Machine Learning
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