AI Automation
Representative SolutionIntelligent Document Processing
Automated extraction, classification and routing of business documents.
Thousands
Of documents processed
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
Step 01
Catalogue document types
Sampled real documents to define types, required fields, validation rules and routing logic.
Step 02
Extraction and classification
AI models classify each document and extract structured fields, with confidence scores per field.
Step 03
Human review where needed
Low-confidence items go to a review queue; everything else flows straight through to the target system.
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
- Email and uploads
- Classification
- Field extraction
- Validation rules
- Review queue
- 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