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Case Study

Case Study

Power Smarter Growth Through VeeLead

Purchase Order Copilot — End-to-End PO Validation Automation

 

85% 

Reduction in Finance Team PO Effort 

Zero 

Month-End Overtime — Eliminated 

5 Weeks 

From Kickoff to Go-Live 

 

Client Overview 

 

Industry: Manufacturing & Distribution — Industrial Components 

Company Size: ~410 employees, Finance team of 14 

Region: Midwest United States 

 

A mid-market industrial components manufacturer in Illinois processed over 400 vendor purchase orders every month. Each one arrived as a PDF attachment in a shared email inbox. The finance team opened every email, read every PDF, and manually checked every line item against the original quotation in Dynamics 365 Business Central. The process was slow, error-prone, and getting worse. The company engaged Veelead Solutions to eliminate the manual process entirely using Microsoft AI. 

 

The Challenge 

 

Every month, 400 vendor invoices had to be manually checked — one by one — against the original purchase orders. It was time-consuming, error-prone, and heading in the wrong direction. 

  • A finance team member would open a vendor email, download the PDF invoice, then open Dynamics 365 Business Central to find the original purchase quotation, and compare every single line item by hand — vendor code, quantity, unit price, totals — for each of the 400 invoices that month. 
  • At 15 to 20 minutes per invoice, the team was spending the equivalent of a full working week every month on data comparison alone — before any actual finance work could begin. 
  • About 8 in every 100 invoices had an error — wrong price, wrong quantity, mismatched item code. Each one triggered a dispute with the supplier, delayed payment, and consumed more time to resolve. 
  • Month-end became a crisis. With books closing and invoices still pending, the team regularly worked evenings and weekends to clear the backlog. 
  • There was no proper audit trail. If an auditor asked about a specific invoice from three months ago, the answer required digging through email threads and spreadsheets — an unreliable and time-consuming process. 

 

The Solution 

 

Now, when a vendor invoice arrives in the inbox, an AI system takes over immediately — before anyone on the finance team has even opened the email. It reads the invoice, checks every figure against the original order, and either approves it automatically or flags exactly what does not match. 

 

What Veelead Built 

  • A vendor emails their invoice for 500 steel components at $12.40 each. Before a human opens the email, the Copilot has already read the PDF, extracted every line item, matched them against the quotation in Dynamics 365 Business Central, confirmed the price and quantity are correct, and marked the PO as approved — end to end, automatically. 
  • If the invoice says $12.40 per unit but the original quotation says $11.90, the Copilot pauses the approval and sends the responsible finance officer a Teams message showing both numbers side by side. The discrepancy is visible immediately — not discovered during an audit or a vendor dispute two weeks later. 
  • Every PO processed — whether approved or flagged — automatically generates a timestamped audit record: what data was extracted, what was checked, and what decision was made. Auditors can review the entire month’s PO activity in minutes rather than days. 
  • The system runs continuously. Vendor invoices that arrive overnight or over the weekend are processed and ready for the finance team to review when they arrive in the morning — with no delay.

 

Results & Business Impact 

 

From the very first month-end after go-live, the change was unmistakable. The finance team stopped working overtime — immediately and permanently. 

  • Month-end overtime was eliminated entirely. The team processed the same volume with 85% less manual effort, leaving the office on time for the first time in years. 
  • Vendor disputes dropped from 12 per month to 1 to 2 — because the AI catches every pricing or quantity mismatch before payment is ever made. 
  • The year-end audit was completed faster than in the previous four years. Auditors specifically noted the quality and completeness of the AI-generated audit trail. 
  • The finance team now spends their time on analysis, cash flow management, and vendor relationships — the work that creates real business value. 

 

Metric 

Before Automation  After Automation 

Improvement 

Manual Data Entry Time per PO 

15–20 Minutes Each 

Under 90 Seconds 

90%+ Faster 

PO Processing Error Rate 

~8% 

Under 0.5% 

Near-Zero Errors 

Finance Team Hours on PO Tasks 

~40 hrs/month 

~6 hrs/month 

85% Reduction 

Vendor Disputes (Data Errors) 

12 Disputes/Month 

1–2/Month 

85% Reduction 

Month-End Overtime 

~20 hrs/month 

Zero 

Fully Eliminated 

 

“The first month-end after go-live, my entire team left the office before 5pm. For the first time in years. The Copilot processed everything — accurately, completely, and with a full audit trail. That moment alone told me everything I needed to know about the value of this project.” 

— Finance Director, Manufacturing Client 

 

Tools & Technologies 

 

Microsoft AI Builder 

Copilot Studio  Dynamics 365 Business Central 
Power Automate  Microsoft 365 & Outlook 

SharePoint Online 

 

Why This Matters for Your Business 

If your finance team is comparing vendor invoices to purchase orders by hand, every working hour spent on that task is an hour they are not spending on analysis, planning, or risk management — and every mismatch they miss is a financial and compliance exposure waiting to surface. 

 

Conclusion

This case study demonstrates how intelligent automation can completely transform finance operations. By implementing Microsoft 365 Purchase Order Automation with Microsoft AI Builder, Copilot Studio, Power Automate, and Dynamics 365 Business Central, the organization eliminated repetitive manual work, reduced processing errors, and removed month-end overtime entirely.

The solution not only accelerated invoice and PO validation but also created a reliable audit trail, improved vendor management, and allowed the finance team to focus on higher-value strategic activities instead of manual data comparison.

For organizations still relying on manual purchase order verification, this project highlights how AI-powered automation can deliver measurable business outcomes in just weeks — improving efficiency, accuracy, compliance, and scalability across the finance function.