AI AutomationExample Solution

Document Intelligence for Operations

Logistics Company

An automated document processing pipeline that extracts, validates, and routes structured data from high-volume operational documents.

Problem

Operations teams manually keyed data from shipping and customs documents. The process was slow, error-prone, and did not scale with volume.

Solution

A document intelligence pipeline that extracts structured fields, validates them against rules and reference data, and routes exceptions to humans for review with full traceability.

Technology
  • Vision + LLM extraction
  • Structured output validation
  • Rules engine for validation
  • Human review console
Automation
  • Extraction with validation
  • Exception routing
  • Audit trail generation
  • Source document archiving
Outcome
  • Reduced manual data entry volume
  • Improved accuracy with validation and review
  • Full audit trail for every document
Architecture

A layered system

Each layer has a clear responsibility and a clear contract with the layers above and below. Read top-to-bottom for the request path; bottom-to-top for the data path.

  1. 01

    Ingestion

    Document intake from email, portals, and uploads.

  2. 02

    Extraction

    Vision + LLM extraction into typed schemas.

  3. 03

    Validation

    Rules and reference-data validation with confidence.

  4. 04

    Routing

    Automated acceptance or human review queue.

  5. 05

    Observability

    Throughput, accuracy, and exception dashboards.

Engagement

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