Case Study: National Real Estate Company saves time and improves invoice accuracy with Vic.ai

National Real Estate Company Saves Time and Improves Accuracy with Vic.ai

National Real Estate Company, a US real estate firm with 350 employees, was struggling to keep up with about 5,000 invoices a month across real estate transactions and remodeling projects. Its AP team relied on manual scanning, data entry, spreadsheets, and budget checks, creating errors and slowing down processing—especially when coding invoices to the correct house project.

To address the need for scalability and automation, National Real Estate Company selected Vic.ai’s autonomous finance platform for invoice processing. By batch-scanning and importing invoices into Vic.ai, the team streamlined data capture and improved budget review workflows, ultimately processing 5,000 invoices per month at an average of 90% accuracy. The company also reported improved GL and line-item predictions, better processing trends, and strong satisfaction with Vic.ai’s support and service.