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Work / AI-assisted document operations

Classify documents, extract fields and connect related files into a business transaction workflow.

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Original Document Processor transaction workspace with one clearly fictional sample orderOriginal prototype interface · local fictional demo data.
01 / Overview

The system at a glance.

System
AI-assisted document operations
Focus
AI
Status
Prototype
02 / Challenge

The challenge.

Keep business documents connected to their transaction and next workflow step.

03 / System architecture

How the parts connect.

Ingestion, classification and extraction feed a shared transaction record and document workflow.

Conceptual system map.
04 / Core modules

What it handles.

01
Document ingestion

Upload quotations and supporting documents with transaction context.

02
Classification

The processing layer identifies document types for the workflow.

03
Field extraction

Extract structured fields from uploaded business documents.

04
Document linking

Related documents share the same transaction context.

05
Transaction tracking

Review stages from quotation through subsequent commercial documents.

06
Document templates

Dedicated screens support purchase orders, invoices and collection documents.

07
Reporting

Filter transaction reports by company, date range and currency.

05 / User experience

A workspace for each role.

Upload, transaction and reporting views provide separate entry points into the same process.

06 / Key workflows

The work, end to end.

  1. 01Quotation
  2. 02Classification and extraction
  3. 03Transaction
  1. 01Transaction
  2. 02Supporting documents
  3. 03Workflow stage
  1. 01Transaction records
  2. 02Filters
  3. 03Reporting
07 / Technology

Engineering focus.

React / TypeScript / Express / MongoDB / GridFS / AI document processing

Project infrastructure details are not published.

09 / Outcome

What we delivered.

An implemented document workflow prototype. The walkthrough uses fictional records in the original interface.

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