NLA

Automated Invoice Processing with AI

By NATULEADAN SAS BIC | Created

The Challenge

The firm’s accounts payable team spent 3 hours daily on manual invoice data entry. Errors in amounts, dates, and vendor information caused payment delays and reconciliation issues.

Our Approach

  1. Analysis: Mapped the invoice workflow and identified error-prone steps
  2. Extraction: Built an AI model to extract structured data from unstructured invoices
  3. Validation: Implemented automated cross-checks against purchase orders
  4. Integration: Connected to their accounting system via API
  5. Monitoring: Set up dashboards for accuracy tracking and exception handling

Results

  • Processing errors dropped from 12% to less than 1%
  • Invoice processing time reduced from 3 hours to 25 minutes daily
  • Annual operational savings of $45,000
  • Team now focuses on vendor relationship management

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