What challenges did DMI face before AI implementation?

Federal agencies face huge backlogs of diverse, unstructured, sensitive documents such as regulatory records and case files. Traditional OCR solutions lack scalability, accuracy, and flexibility to handle various document types including handwritten and degraded images. There is a critical need to accelerate processing while meeting stringent security, compliance, and data sovereignty requirements.

What was the impact of the AI solution?

Document AI has reduced manual document processing efforts and significantly improved speed and accuracy of data extraction for federal agencies. It enabled automation of complex multimodal document types while ensuring FedRAMP compliance and stringent security controls. The solution supports scalable processing and secure storage of millions of documents, benefiting a major U.S. Department of Defense organization among others. It provides agencies with actionable, searchable intelligence from unstructured documents, improving mission-critical workflow outcomes.

Source

ProductionEvidence: Low40/100

Accelerating federal document processing using Document AI from DMI powered by Amazon Bedrock

Use case typeIntelligent document processingUpdated Jun 13, 2026

Federal agencies face large backlogs of unstructured, highly sensitive documents including regulatory records, eligibility evidence, and case files that need to be processed faster and more accurately. DMI developed Document AI, a modular solution using Amazon Bedrock for generative AI and large language models to classify and extract data from complex documents, supporting multimodal analysis and high extraction accuracy. The solution integrates AWS services like Amazon Bedrock Knowledge Bases, Amazon Augmented AI (A2I), AWS CloudFormation, and Amazon S3 to provide secure, compliant, and automated document workflows with human-in-the-loop review. Document AI automates ingestion, classification, extraction, and generation workflows, improving processing speed and accuracy while enabling agencies to maintain full data control within their own AWS accounts.

Organization: DMI
Industry: Public Sector
Location: United States
Published: May 2026

Reported outcomes

Strategic outcomes

New product / capabilityAutomated complex multimodal document processingRisk & complianceEnsured FedRAMP-compliant document handlingScale & capacitySupported secure processing of millions of documentsBetter decisions & insightProvided searchable intelligence from documents

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: DMI, Department of Defense
Provider: AWS
Maturity: Production
Linked source: AWS Public Sector Blog

The solution is deployed using AWS CloudFormation to enable rapid, consistent deployment within customers' AWS accounts ensuring data sovereignty and security

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Intelligent Document Processing
2Generative AI
3RAG

Federal agencies face huge backlogs of diverse, unstructured, sensitive documents such as regulatory records and case files.
Traditional OCR solutions lack scalability, accuracy, and flexibility to handle various document types including handwritten and degraded images.
There is a critical need to accelerate processing while meeting stringent security, compliance, and data sovereignty requirements.

DMI built Document AI using Amazon Bedrock to apply advanced generative AI and multimodal large language models for document classification and metadata extraction beyond traditional OCR.
The solution uses smart templates (blueprints) to decouple extraction logic from code, allowing quick configuration and scalability.
It features a patent-pending Retrieval Augmented Generation (RAG) model optimized for long document generation producing large documents autonomously with user-prioritized source selection.
Human-in-the-loop validation is enabled via Amazon Augmented AI to ensure accuracy and compliance.
The solution is deployed using AWS CloudFormation to enable rapid, consistent deployment within customers' AWS accounts ensuring data sovereignty and security.

Technologies

Amazon Bedrock Amazon Bedrock Knowledge Bases Amazon Bedrock Data Automation Amazon Augmented AI (A2I)AWS CloudFormation Amazon Simple Storage Service (S3)

Document AI has reduced manual document processing efforts and significantly improved speed and accuracy of data extraction for federal agencies.
It enabled automation of complex multimodal document types while ensuring FedRAMP compliance and stringent security controls.
The solution supports scalable processing and secure storage of millions of documents, benefiting a major U.S. Department of Defense organization among others.
It provides agencies with actionable, searchable intelligence from unstructured documents, improving mission-critical workflow outcomes.

Architecture

Document AI solution architecture leverages Amazon Bedrock LLMs, Knowledge Bases, Data Automation for smart template-based extraction, Amazon Augmented AI for human-in-the-loop, AWS CloudFormation for IaC deployment, and Amazon S3 for secure storage, all deployed within customers' AWS accounts to maintain data control and meet FedRAMP compliance.

Sources & evidence1

Evidence: Low40/100Evidence strength