How Inscribe uses Amazon Bedrock to stop document fraud in seconds

This article describes how Inscribe built an agentic AI system using Amazon Bedrock to detect document fraud in under 90 seconds, a 20x improvement over manual review.

• Fraud appears in 1 of every 16 documents; AI-generated forgeries grew 5x from April to December 2025
• Agentic AI coordinates specialized models to analyze documents, cross-reference data, verify employer details, and generate audit-ready reports
• Claude Haiku 4.5 handles routine parsing and classification with 40% cost reduction; Llama models process transactions; Claude Sonnet conducts cross-document analysis
• Proprietary ML models on SageMaker detect pixel-level forensic signals and fraud patterns that general-purpose models miss
• BHG Financial achieved 90%+ review time reduction; Logix prevented $3M in fraud losses in 8 months; BCU prevented $5.6M through fraud ring detection

Strategic multi-model selection on Amazon Bedrock enables financial institutions to balance fraud detection accuracy, speed, and cost while scaling beyond manual review limitations.