Federal agencies are processing millions of documents every year — case files, eligibility records, personnel packets, and regulatory submissions. Many are managing backlogs of millions of cases, with intake volumes that exceed tens of millions of forms annually.
This isn't a workflow problem. It's a scale problem.
Document processing is no longer a back-office function. It directly impacts mission speed, compliance posture, and workforce productivity.
As agencies move toward fully electronic records environments, incremental improvements to legacy OCR are no longer enough.
OCR helped agencies get started. It doesn't help them scale.
Moving Beyond OCR
Traditional OCR struggles with real-world conditions — changing layouts, handwritten content, degraded scans, and inconsistent formats. As document diversity increases, rule-based extraction creates a cycle of rework, maintenance, and manual intervention.
Modern federal workloads require systems that understand context, adapt dynamically, and operate at enterprise scale.
A Modular Approach to Document Intelligence
DMI's Document AI on AWS enables agencies to modernize document operations without replacing core systems.
Agencies can start where it matters most:
- Automate document intake and classification
- Extract and validate data within mission workflows
- Generate long-form documents such as policies, SOPs, and compliance reports
This phased model allows teams to scale from targeted use cases to enterprise-wide document intelligence.
This approach is already being applied in federal environments where document scale, sensitivity, and auditability are non-negotiable.
Built for Secure Deployment
The solution is deployed directly into each agency's AWS environment using Infrastructure as Code.
Data stays within the agency boundary. No shared tenancy. No external model training. No black-box processing.
With FedRAMP-aligned AWS services, agencies maintain control, auditability, and security across the entire document lifecycle — while incorporating human review where it matters most.
What This Changes for Federal Leaders
For CIOs, Chief Data Officers, and program leaders, Document AI delivers measurable impact:
- Cut intake-to-decision time from days to minutes
- Improve audit traceability across document workflows
- Reduce manual processing load without expanding teams
- Modernize systems without rip-and-replace risk
- Establish a repeatable path to secure GenAI adoption
Instead of managing backlog growth, agencies can convert documents into usable, searchable intelligence that supports mission execution.
Read the Full AWS Deep Dive
DMI has co-authored a detailed technical deep dive with AWS outlining the architecture, workflows, and federal use cases behind this approach.
Read the full article on the AWS Partner Network (APN) Blog.