Using AI & GenAI to Automate Invoice Processing​

Author
.
2025

Overview

A US software company focused on AI-powered, cross-functional integration and  automation, partnered with Blend to transform their manual, time-consuming and inefficient invoice processing.

Challenge

  • Manually processed 3 million invoices annually, including 1 million in non-standard formats (PDFs, images, documents).​
  • Heavy reliance on manual data extraction from these unstructured documents, leading to inefficiencies and time-consuming operations.​
  • Needed a solution that could handle diverse invoice formats with high accuracy.​
  • Sought to enhance product capabilities through a proof of concept (POC) leveraging AI and Generative AI technologies.

Solution

  • Blend created a GenAI-powered invoice processing system.​
  • The solution is much faster to develop and requires far fewer examples to approach near 100% accuracy.​
  • Solution leverages few-shot prompt engineering and chain of thought prompting, using GPT-4 and Azure OpenAI service.

Impact

  • Enabled automated data extraction from invoices in any format with near 100% accuracy and faster development cycles.​
  • Client can easily adapt to market.​
  • Positioned the client as a market leader while the successful proof of concept progresses toward full production implementation, incorporating the AI tool.

Key Data Points

1M
invoices automated to extract key information
250K
manhours saved through automation​
$12.5M
cost savings per year