accounts_payable · realestate · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Invoice batch scan and import
Invoices are batch-scanned and imported into Vic.ai to begin processing.
Tools used
Vic.ai
Outcome
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.
Results
Time saved5,000 invoices a month
Volume94%
Grounding & classification
Source type: vendor customer story
21 fields verified against source quotes, 1 dropped as unverifiable.
data extractionidpinvoicemetric backedproduction runtime claimedtools describedworkflow describedreal estateaccuracy improvementerror reductionthroughput increasetime savedvendor customer storyaccounts payableinvoice processingdocument to record