The challenge
A global manufacturing conglomerate was burning 144 hours every month just to process monthly invoices. Accountants entered line items by hand, created journal entries one at a time, and ran manual reviews to catch errors. The process was slow, exposed the company to fraud risk, and locked highly skilled finance professionals into rote work that should never have been theirs to do.
The solution
AccountingQ replaced the manual pipeline end to end.
- Teams bulk-upload invoices directly into the platform.
- AI extracts line items, vendor details, and key fields automatically.
- Draft journal entries are auto-generated, mapped to the right GL accounts.
- The built-in fraud engine validates each entry against duplicates, blacklists, and policy rules.
- Clean entries post seamlessly into the ERP.
- A live audit trail and real-time fraud alerts run continuously in the background.
Results
144 hours of work became 1 hour. The monthly invoice cycle effectively disappeared.
95 percent data extraction accuracy out of the box, with validation layers catching the rest before posting.
Fraud risk dropped 80 percent thanks to automatic duplicate and blacklist detection that runs on every single invoice.
Added impact
30 full-time accounting professionals were upskilled with AI. Instead of typing invoice data, they now spend their time on analytics, financial visibility, and the strategic insights leadership has always wanted from the finance function. The team’s value to the business went up, not the headcount.