How Inscribe Leverages Amazon Bedrock to Combat Document Fraud

Inscribe, a leader in AI-powered document fraud detection, has forged a strategic partnership with Amazon Web Services (AWS) to leverage Amazon Bedrock. This collaboration has enabled Inscribe to construct an advanced agentic AI system specifically designed to detect tampered, fabricated, and AI-generated financial documents. By harnessing the capabilities of Amazon Bedrock, Inscribe has achieved a remarkable 20x improvement in fraud detection efficiency, significantly reducing review times from approximately 30 minutes to under 90 seconds per application. This partnership underscores the potential of AWS infrastructure and AI capabilities in transforming traditional fraud detection processes. The integration of Amazon Bedrock allows Inscribe to utilize high-performing foundation models from leading AI companies, ensuring robust and reliable fraud detection capabilities. Additionally, the platform provides essential security, privacy, and responsible AI features, which are critical for handling sensitive financial documents. This comprehensive approach not only enhances operational efficiency but also ensures that businesses can trust in the security and accuracy of their fraud detection processes.

Document fraud poses a significant threat to businesses across various industries. According to Inscribe’s 2026 State of Document Fraud Report, fraud is present in 1 out of every 16 documents. The threat has escalated with the rise of AI-generated forgeries, which grew fivefold from April to December 2025. This surge in sophisticated fraud methods highlights the critical need for advanced detection systems that can quickly and accurately identify fraudulent documents. The increasing complexity and volume of document fraud necessitate innovative solutions to protect businesses and maintain trust in financial transactions. Traditional methods of fraud detection are often insufficient to handle the scale and sophistication of modern fraud techniques. As a result, businesses must adopt advanced AI-driven solutions to stay ahead of fraudsters and protect their interests. The integration of AI technologies like those provided by Amazon Bedrock can offer a significant advantage in detecting and preventing document fraud, ensuring that businesses can operate with confidence and security.

Traditional manual review processes for detecting document fraud are notoriously time-consuming and labor-intensive, typically requiring about 30 minutes per application. In contrast, Inscribe’s AI system, powered by Amazon Bedrock, can detect fraudulent documents in under 90 seconds. This dramatic reduction in review time not only enhances operational efficiency but also allows businesses to respond more swiftly to potential fraud, minimizing risks and protecting their interests. The speed and accuracy of AI-driven review processes represent a significant advancement over traditional methods, offering a more reliable and efficient solution for document fraud detection. By automating the review process, businesses can allocate their resources more effectively, focusing on other critical areas while ensuring that their fraud detection capabilities remain robust and up-to-date. The integration of AI technologies not only improves the efficiency of fraud detection but also enhances the overall security posture of the organization, providing a comprehensive solution to the growing threat of document fraud.

Amazon Bedrock offers a comprehensive suite of high-performing foundation models from leading AI companies, ensuring robust and reliable fraud detection capabilities. It provides essential security, privacy, and responsible AI features, which are critical for handling sensitive financial documents. By integrating these models, Inscribe can perform complex tasks such as document parsing, initial classification, transaction enrichment, entity extraction, and cross-document fraud analysis with exceptional accuracy and speed. The combination of advanced AI models and stringent security measures makes Amazon Bedrock an ideal platform for building sophisticated fraud detection systems. Additionally, the platform’s scalability allows Inscribe to handle large volumes of documents efficiently, ensuring that the system can grow and adapt to the evolving needs of businesses. The integration of Amazon Bedrock also provides Inscribe with access to the latest AI advancements, allowing the company to continuously improve its fraud detection capabilities and stay ahead of emerging threats. This comprehensive approach ensures that businesses can trust in the security and efficiency of their document fraud detection processes, providing a reliable solution to the growing threat of document fraud.

Inscribe strategically utilizes various models from Amazon Bedrock to optimize its fraud detection system. For high-volume operations like document parsing and initial classification, Inscribe employs Anthropic Claude Haiku 4.5. For transaction enrichment and entity extraction, Meta Llama 3.1 70B and Meta Llama 4 are used. Finally, Anthropic Claude Sonnet 4 and 4.5 are employed for cross-document fraud analysis and multi-step reasoning workflows. This thoughtful model selection ensures that each aspect of the fraud detection process is handled by the most appropriate and efficient AI tool, enhancing the overall effectiveness and accuracy of the system. By leveraging these advanced models, Inscribe can achieve exceptional accuracy and speed in detecting fraudulent documents, providing businesses with a reliable and efficient solution to the growing threat of document fraud. The integration of these models also allows Inscribe to continuously improve its fraud detection capabilities, ensuring that the system remains up-to-date with the latest AI advancements and can adapt to emerging threats. This comprehensive approach ensures that businesses can trust in the security and efficiency of their document fraud detection processes, providing a reliable solution to the growing threat of document fraud.

Inscribe’s fraud detection system is supported by a robust AWS infrastructure. Document ingestion and storage are managed through Amazon S3, ensuring secure and scalable storage solutions. Processing jobs are created and queued using Amazon SQS, facilitating efficient workflow management. The web application is served through Amazon CloudFront and an Application Load Balancer, providing high availability and performance. This comprehensive infrastructure enables Inscribe to deliver a seamless and reliable fraud detection service, ensuring that businesses can trust in the security and efficiency of their document fraud detection processes. The integration of AWS infrastructure also allows Inscribe to scale its services efficiently, ensuring that the system can handle large volumes of documents and adapt to the growing needs of businesses. Additionally, the use of AWS services provides Inscribe with access to the latest advancements in cloud computing, allowing the company to continuously improve its fraud detection capabilities and stay ahead of emerging threats. This comprehensive approach ensures that businesses can trust in the security and efficiency of their document fraud detection processes, providing a reliable solution to the growing threat of document fraud.

For Australian mid-market decision-makers, the integration of advanced AI systems like Inscribe’s, powered by Amazon Bedrock, offers a compelling solution to the growing threat of document fraud. By adopting such technologies, businesses can significantly enhance their fraud detection capabilities, reduce operational costs, and improve response times to potential fraud. The success of Inscribe’s system demonstrates the value of leveraging AWS infrastructure and AI capabilities to create efficient, secure, and reliable fraud detection solutions. Decision-makers should consider the benefits of integrating similar AI-driven systems to protect their businesses from the escalating risks of document fraud. The integration of AI technologies not only improves the efficiency of fraud detection but also enhances the overall security posture of the organization, providing a comprehensive solution to the growing threat of document fraud. By adopting these advanced solutions, businesses can ensure that they are well-equipped to handle the complexities of modern fraud techniques and protect their interests in an increasingly digital world.