Intelligent Document AI & Automation for Federal Missions

CNDEZ Federal Focus helps agencies turn high-volume forms, records, reports, and correspondence into structured, trusted data using intelligent document AI and automation—reducing manual effort while improving speed, accuracy, and compliance.

80% Manual Steps Reduced*
3–5x Faster Processing*
24/7 Digital Intake

From Documents to Decisions

CNDEZ combines OCR, machine learning, and large language models (LLMs) with human review and governance to make document-heavy processes faster, more accurate, and audit-ready.

  • Multi-format document ingestion (PDF, scans, forms)
  • Entity extraction, classification, and validation
  • Integration into case, workflow, and line-of-business systems

Unlocking Mission Value Hidden in Documents

Federal missions still rely heavily on documents—forms, correspondence, investigative files, medical records, maintenance logs, and more. Much of this information is locked in PDFs, scans, and attachments. CNDEZ Federal Focus brings Intelligent Document AI to these workflows, turning unstructured content into structured, reusable data that feeds analytics, case management, and decision support.

CNDEZ Intelligent Document AI Capabilities

A modular set of services that agencies can mix and match—starting with a single document type or scaling to enterprise-wide document and records automation.

Document Ingestion & Normalization

Capture documents from multiple channels (portals, email, shared drives, legacy systems) and normalize them for AI processing.

  • Bulk and streaming ingestion from existing systems
  • Format normalization, deduplication, and pre-processing
  • Metadata tagging and routing based on mission rules

OCR & Layout-Aware Extraction

Apply high-accuracy OCR and layout analysis to scanned forms, semi-structured documents, and mixed-content packets.

  • Printed and handwritten text recognition where permitted
  • Tables, checkboxes, and signature detection
  • Layout-sensitive parsing for complex templates

Entity & Field Extraction

Use machine learning and rules to extract key fields, entities, and relationships from mission-specific documents.

  • Named entity recognition for mission-specific terms
  • Field mapping to case and record schemas
  • Confidence scoring and exception handling

Classification & Routing

Automatically classify document types and route them to the right queues, teams, and systems.

  • Document type, topic, and priority classification
  • Rules- and AI-based routing to work queues
  • Integration with case, claims, and ticketing systems

LLM-Powered Summaries & Insights

Apply domain-safe large language models to summarize documents, highlight key facts, and propose next actions.

  • Briefs and summaries for long narratives and reports
  • Highlight extraction (dates, events, decisions, risks)
  • Draft responses and checklists for human review

Human-in-the-Loop & Quality Control

Keep humans in control with review workflows, sampling, and quality metrics to ensure accuracy and trust.

  • Review queues for low-confidence extractions
  • Sampling, feedback, and continuous model tuning
  • Dashboards for accuracy, throughput, and backlog

Platform Approach to Document AI

CNDEZ Federal Focus treats Intelligent Document AI as a platform—not a one-off point solution—so agencies can reuse components, models, and integrations across programs and document types.

Reusable Models & Components

Build shared models and extraction patterns that can be adapted for new document types with minimal retraining.

  • Core libraries for common federal document patterns
  • Mission-specific model extensions and tuning
  • Configuration over custom code where possible

Integration with Existing Systems

Connect Document AI outputs to case systems, data platforms, and archives without disrupting current operations.

  • APIs and connectors for case and records systems
  • Event-driven updates and audit logging
  • Support for multiple classification levels

Governance, Security & Compliance

Design Document AI pipelines that align with security, privacy, and records management requirements.

  • Data classification, retention, and access controls
  • Explainability and traceability of extractions
  • Alignment with NIST AI, RMF, and agency policies

Representative Intelligent Document AI Use Cases

Examples of how CNDEZ Federal Focus can apply Document AI across civilian, defense, and intel missions.

Benefits & Claims Intake Automation

A benefits program handles high volumes of claimant forms, medical documentation, and supporting evidence.

  • Automated extraction of claimant and case details
  • Document classification and routing to adjudicator queues
  • Turnaround time reduced while maintaining quality checks

Investigative & Case File Summarization

Investigators must review large case files spanning interviews, reports, and correspondence.

  • Entity and event extraction across multi-document files
  • LLM-generated summaries for quick orientation
  • Cross-document linkages surfaced for analysts

Maintenance, Logistics & Readiness Records

Maintenance and logistics data is often split between structured systems and unstructured inspection reports and logs.

  • Extraction of key status, parts, and fault information
  • Integration into readiness dashboards and data platforms
  • Foundation for predictive maintenance and analytics

Engage CNDEZ Federal Focus

Ready to explore Intelligent Document AI for your agency? CNDEZ Federal Focus can start with a single document type, pilot, or program and scale toward an enterprise Document AI platform.

Share a few details below and our team will follow up with a tailored Document AI assessment or working session proposal.