AI Automation

Representative Solution

Intelligent Document Processing

Automated extraction, classification and routing of business documents.

Thousands

Of documents processed

A developer working on a laptop at a quiet desk lit by a warm lamp

This is a representative solution describing the type of system LT Lab delivers. It does not describe a specific named client engagement.

The challenge

What wasn't working

A back-office team received invoices, applications and supporting documents by email and upload in many formats. Each document was opened, read, typed into a system and forwarded manually.

Volumes peaked unpredictably, creating backlogs and delays for customers and suppliers.

Approach

How the solution was built

  1. Step 01

    Catalogue document types

    Sampled real documents to define types, required fields, validation rules and routing logic.

  2. Step 02

    Extraction and classification

    AI models classify each document and extract structured fields, with confidence scores per field.

  3. Step 03

    Human review where needed

    Low-confidence items go to a review queue; everything else flows straight through to the target system.

  4. Step 04

    Integrate and measure

    Validated data is posted to the ERP or case system, and throughput and accuracy are tracked over time.

Architecture

System overview

  1. Email and uploads
  2. Classification
  3. Field extraction
  4. Validation rules
  5. Review queue
  6. ERP / case system

Outcomes

What changed

  • Most documents processed without manual keying
  • Peaks absorbed without growing backlogs
  • Consistent validation and a full audit trail
  • Staff time redirected to exceptions and customer work

Technologies

Python / LLM APIs / OCR / Queues / PostgreSQL / Microsoft 365

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