Case No. 1
Regional distribution company
The company processed over 100 documents daily — invoices, work completion reports, and payment requests. Everything was done manually: documents were received by email, uploaded to Google Drive, printed out, and approved by accountants and managers.
The problem
The company processed over 100 documents daily — invoices, acts of completed works, payment requests. Everything was done manually: documents arrived via email, were uploaded to Google Drive, printed, and approved by accountants and managers. Because of this:
- • The average time to process one document was 12–20 minutes.
- • Frequent instances of file duplication or loss.
- • Human errors during completion.
- • Delays in processing payments and submitting reports.
Decision
• We proposed the creation of a digital twin of the company's document management system using:
- • AI module for automatic document reading (OCR + NLP)
- • Intelligent approval routing (based on document type, amount, and department)
- • Automatic archive generation with filters and search
- • Integration with CRM and accounting system (1C)
Implementation
- • Analysis of the structure of existing documents (3 working days)
- • Development of a custom AI model based on GPT + LangChain (5 days)
- • Testing on internal documents — classification accuracy: 96%
- • Integration with the internal file exchange system and email (Gmail API)
Results
- • Average time for processing one document decreased to 1–2 minutes
- • 0% document loss — everything is archived in a unified format
- • Up to 80% of documents are approved automatically without human involvement
- • Total time savings in the first month: over 70 hours
- • Filling errors are minimized
Case No. 1
The company's results after working with us:
Monthly increase in documents
0
K
Time savings
0
%
Cost Savings
0
%


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