Leading real estate company processes 5,000 invoices/month at 90% accuracy with Vic.ai autonomous finance platform
An accounts payable team processed approximately 3,000 invoices a month through manual scanning and data entry, struggled to code invoices to the right renovation projects, had to manually check against renovation budgets before payment, and managed invoices in spreadsheets that caused frequent errors and lost time.
After deploying Vic.ai, the AP team can now process 5,000 invoices a month at an average of 90% accuracy, with good improvements in GL and line-item level predictions, and leadership reports high satisfaction with the platform.
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Frequently asked questions
What did this team achieve with this AI workflow?
After deploying Vic.ai, the AP team can now process 5,000 invoices a month at an average of 90% accuracy, with good improvements in GL and line-item level predictions, and leadership reports high satisfaction with the…
What tools did this team use?
Vic.ai, Oracle Cloud.
What results were reported?
Invoice processing accuracy (header stat): 94%; Invoice processing accuracy (body stat): 90%; monthly invoice volume processed with Vic.ai: 5,000 invoices a month; GL and line-item prediction quality: good improvements (source-reported, not independently verified).
How is this accounts payable AI workflow structured?
Invoice batch scan and import → AI data ingestion and processing → GL and line-item prediction → Budget check against invoices.