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Solution

Automate Document Processing and Eliminate Manual Data Entry

Extract, validate and process documents automatically — invoices, contracts, forms and reports — with AI that handles the variation human data entry cannot.

Casablanca, Morocco — serving Europe & the GCC
The Problem

What is holding you back

Document processing is among the most expensive manual operations in finance, legal, healthcare and logistics. Staff manually read documents, extract data, verify it against other systems and re-enter it — a process that is slow, error-prone and scales poorly.
The Result

What changes when you fix it

AI document processing extracts data from unstructured documents with 95%+ accuracy, validates against business rules automatically and routes exceptions for human review. What takes a team hours per day runs in minutes — with full audit trail and exception handling.

  • 95%+ extraction accuracy on standard document types
  • 80% reduction in manual data entry time
  • < 2 minute processing time from upload to CRM
  • Arabic and French document support included
  • 100% audit trail on all processed documents
Our Approach

How we solve it

We build document AI pipelines using vision-capable LLMs (GPT-4o, Claude) for extraction, custom validation logic for business rules, and n8n for orchestration and routing. The pipeline handles PDFs, scanned documents, Arabic and French text, and feeds directly into your CRM, ERP or accounting system.

Services

Services we use to deliver this

This solution draws on a combination of the following capabilities.

Case Study

See it in practice

Read a real engagement where we delivered this outcome for a client.

Industries

Industries where this solution applies

FAQ

Common questions

Answers to the questions decision-makers ask us most.

Ready to automate document processing with ai?

Book a short call and we will show you exactly how we would approach your situation — with a realistic timeline and outcome estimate.

Reviewed by the Ascii-Core Engineering Team — specialists in AI engineering, workflow automation, product development and enterprise software architecture. Content reviewed regularly to reflect current technologies and implementation practices. · Updated June 2026