How much faster is Inscribe's system than manual review?

Inscribe detects fraud in under 90 seconds, compared with 30 minutes for traditional manual review—a 20x improvement.

Which AI models does Inscribe use and why?

Inscribe uses Claude Haiku 4.5 for routine document parsing and field extraction (achieving 40% cost reduction vs. Claude Sonnet), Meta Llama models for transaction analysis, and Claude Sonnet 4 and 4.5 for cross-document fraud analysis and report generation. The approach allows Inscribe to match each model to the task best suited to it.

How common is document fraud according to the data cited?

Fraud appears in 1 of every 16 documents, and AI-generated forgeries grew 5x from April to December 2025, according to Inscribe's 2026 State of Document Fraud Report.

Large Language ModelsAI Regulation & PolicyAmazon AI BlogJul 1, 2026Jul 2, 2026, 04:00 JST

Inscribe detects document fraud in 90 seconds using AI on AWS

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3 Key Points

What happened
Inscribe built an AI system using Amazon Bedrock that detects tampered, fabricated, and AI-generated financial documents in under 90 seconds—a 20x improvement over traditional manual review, which takes 30 minutes per application.
Why it matters
Financial institutions processing thousands of loan and credit applications daily face fraud in 1 of every 16 documents, with AI-generated forgeries growing 5x from April to December 2025. Manual review cannot keep pace with volume or detect sophisticated deepfakes and coordinated fraud rings, leaving institutions exposed to millions in losses and regulatory risk.
What to watch
Inscribe uses multiple models from Amazon Bedrock matched to specific tasks—Claude Haiku 4.5 for routine document parsing (40% cost reduction vs. Claude Sonnet), Meta Llama models for transaction analysis, and Claude Sonnet 4 and 4.5 for cross-document fraud pattern detection and audit-ready reporting.

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FAQ

How much faster is Inscribe's system than manual review?: Inscribe detects fraud in under 90 seconds, compared with 30 minutes for traditional manual review—a 20x improvement.
Which AI models does Inscribe use and why?: Inscribe uses Claude Haiku 4.5 for routine document parsing and field extraction (achieving 40% cost reduction vs. Claude Sonnet), Meta Llama models for transaction analysis, and Claude Sonnet 4 and 4.5 for cross-document fraud analysis and report generation. The approach allows Inscribe to match each model to the task best suited to it.
How common is document fraud according to the data cited?: Fraud appears in 1 of every 16 documents, and AI-generated forgeries grew 5x from April to December 2025, according to Inscribe's 2026 State of Document Fraud Report.

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