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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 %
BUSINESS TWIN
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