Al Rashid Amin Azure AI Document Classification and File Automation
An automated workflow using Azure Document Intelligence + Python to classify documents, extract identifiers, rename files by business rules, trigger exceptions, and maintain audit logs.
Industry: Retail and E-Commerce|Region: 🇧🇭 Bahrain
Ali Rashid Al Amin Co
Ali Rashid Al Amin Co — project overview
PROJECT SNAPSHOT
Client
Ali Rashid Al Amin Co
Industry
Retail and E-Commerce
Region
🇧🇭 Bahrain
Engagement
Al Rashid Amin Implements AI-Powered Document Processing and Automated File Classification
Technology
Azure Document Intelligence
Scope
Azure Document Intelligence and Python workflow for scanned-document classification, identifier extraction, file naming and exception handling
Business Challenge
Business challenge
1,000+ scanned documents per day landed with random scanner-generated file names, forcing manual opening, identification, and renaming.
Key Challenges
Fragmented process
1,000+ scanned documents per day landed with
Operational friction
random scanner-generated file names, forcing
Governance and visibility
manual opening, identification, and renaming.
What Neologix Delivered
Delivered solution
An automated workflow using Azure Document Intelligence + Python to classify documents, extract identifiers, rename files by business rules, trigger exceptions, and maintain audit logs.
Daily scanned documents
Daily scanned documents enter the automated processing queue.
Document intake from file share
The intake pipeline collects documents from shared-folder sources.
Azure AI text and ID extraction
Azure AI extracts text and identification fields from scanned material.
Python rule-based renaming
Python rules support classification and consistent file naming.
Low-confidence review queue
Uncertain extraction results appear in a manual review queue.
Searchable files and audit log
Organised files and processing logs improve document retrieval and traceability.
Solution Architecture
Solution architecture
The implementation links scanner and file share to Azure Document Intelligence, with python automation pipeline and exception handling and archives. The visual represents the high-level delivered workflow and boundaries described in project records.
Talk to our team about your current challenges, existing systems, and the outcomes you want. We’ll help you identify the right approach and next steps.
