Accounts payable · Production

Global Roofing Group automates invoice processing with Vic.ai achieving 93% out-of-the-box accuracy

The problem

Global Roofing Group's three-person AP team plus one outsourced administrator struggled to keep pace with 1,500–2,000 invoices per month while manually matching POs, managing approval workflows with back-and-forth delays, and maintaining financial oversight as the company expanded through acquisitions.

Workflow diagram · grounded in source
1
Invoice volume intake
trigger
“handle 1,500 to 2,000 invoices per month”
2
Automated PO matching
ai_action
“Vic.ai's AI-powered platform automates the 2- and 3-way PO matching that Global Roofing Group requires, significantly reducing previous manual work to identify and match associated POs”
3
Approval workflow management
human_review
“features like easy workflow setup, delegation, and mismatch approvals”
4
Digital audit trail output
output
“The Vic.ai platform delivers digital audit trails and real-time processing insights into the AP process”
Reported outcome

During testing, Vic.ai achieved 93% invoice processing accuracy out-of-the-box without prior AI data training, and Global Roofing Group is now better positioned to scale AP operations without adding headcount.

Reported metrics
Invoice processing accuracy out-of-the-box93%
Monthly invoice volume1,500 to 2,000 invoices per month
manual PO matching worksignificantly reducing previous manual work
Manual error risksignificantly reduce the risk of manual errors
Reported stack
Vic.aiAcumatica
Source
https://www.vic.ai/resources/case-studies/why-global-roofing-group-chose-vic-ai
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

During testing, Vic.ai achieved 93% invoice processing accuracy out-of-the-box without prior AI data training, and Global Roofing Group is now better positioned to scale AP operations without adding headcount.

What tools did this team use?

Vic.ai, Acumatica.

What results were reported?

Invoice processing accuracy out-of-the-box: 93%; Monthly invoice volume: 1,500 to 2,000 invoices per month; manual PO matching work: significantly reducing previous manual work; Manual error risk: significantly reduce the risk of manual errors (source-reported, not independently verified).

How is this accounts payable AI workflow structured?

Invoice volume intake → Automated PO matching → Approval workflow management → Digital audit trail output.

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