CASE STUDY / 03
Automate intelligent document processing (IDP) with a multi-agent system.
A SaaS platform that reads, classifies and routes documents — with no human touch on the standard flow.
- ROLE
- Multi-agent system design
- SCOPE
- OCR · Classification · LLM extraction · Routing
- STATUS
- Shipped
- YEAR
- 2026
CONTEXT
The problem
Processing a mixed stream of documents (invoices, forms, letters) normally requires several tools and manual sorting to route each type.
RESPONSE
The response
I designed a multi-agent system that orchestrates OCR, classification, field extraction via a calibrated LLM, and document routing based on a composite score — each agent responsible for a single stage of the pipeline.
FLOW
The document pipeline
- 01
OCR
Extract raw text from the source document.
- 02
Classify
An agent determines the document type.
- 03
Extract
A calibrated LLM extracts the relevant fields.
- 04
Route
A composite score decides the document's destination.
TRADE-OFFS
Design decisions
One agent, one responsibility
Separate OCR, classification, extraction and routing instead of one general-purpose agent.
Composite scoring
Route on several combined signals rather than a single classification confidence.
NEXT PROJECT
Digi-Form