Agricultural Products Company Automates Invoice Processing
How a US-based manufacturer implemented AI-powered invoice processing, achieving production readiness in 4 weeks and saving 300 hours annually.
The Challenge
A US-based agricultural products manufacturer faced a common but costly problem: invoice processing was manual, slow, and error-prone. The accounts payable team spent hours each week manually entering invoice data from various vendor formats into their financial systems.
The manual process created multiple challenges:
- Staff spent hours on repetitive data entry instead of value-added work
- Different vendor invoice formats made standardization difficult
- Manual entry led to errors requiring corrections and rework
- Approval bottlenecks delayed vendor payments
- Poor visibility into processing status and bottlenecks
The company needed a solution that could intelligently extract data from multiple invoice formats and automate the approval workflow—without requiring a lengthy, expensive implementation.
The Solution
Working with a Microsoft partner, the company implemented an AI-powered invoice processing solution using Power Automate and AI Builder. The solution uses optical character recognition (OCR) and machine learning to automatically extract data from invoices and route them through approval workflows.
Key capabilities:
- Intelligent OCR: AI Builder extracts invoice data regardless of format or layout
- Automated Meta-tagging: Invoices automatically categorized by vendor, amount, and type
- Parallel Processing: Multiple users can work on invoices simultaneously
- Approval Routing: Invoices automatically routed based on amount and category
- ERP Integration: Approved invoices flow directly to financial systems
"We went from concept to production in just four weeks. The AI extraction is remarkably accurate, and our AP team can now focus on exceptions and vendor relationships instead of typing numbers all day."
— ControllerThe Results
300 Hours Saved Annually
Automated data extraction eliminated approximately 300 hours per year of manual invoice processing work.
4-Week Implementation
From project kickoff to production deployment took only four weeks—a fraction of traditional automation projects.
High Data Accuracy
AI-powered extraction achieves high accuracy rates, reducing errors compared to manual data entry.
Improved Vendor Relations
Faster, more accurate processing improved payment timing and vendor satisfaction.
Implementation Approach
The rapid four-week implementation followed a focused approach:
- Week 1: Requirements gathering and AI Builder model configuration
- Week 2: Power Automate workflow development and testing
- Week 3: Integration with financial systems and user acceptance testing
- Week 4: Training, go-live, and stabilization
Key Takeaways
- AI Builder Accelerates Implementation: Pre-built AI models dramatically reduce time-to-value
- Start with Common Documents: Focus on the highest-volume invoice types first
- Plan for Exceptions: Build workflows for invoices that need human review
- Measure Time Savings: Track hours saved to demonstrate ROI
- Iterate and Improve: Use production data to refine AI model accuracy over time
Technology Stack
- AI Builder: Pre-built invoice processing model with OCR
- Power Automate: Cloud flows for approval routing and system integration
- SharePoint: Document storage and collaboration
- Microsoft 365: Email notifications and approvals
References
This case study is based on AI Builder invoice processing implementations documented by Microsoft:
Ready to Automate Your Invoice Processing?
Learn how AI Builder can transform your accounts payable operations.
Get In Touch