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United StatesFinance and insurance2025 – ongoing

Ramp

Receipt and invoice OCR built on Azure AI Document Intelligence

Ramp's receipt reader saves 30,000 hours of manual work a month

WorkingVendor's case studyVendor ↗

Problem

The corporate card and spend-management company handles a large volume of receipts and invoices that customers submit. Entering the data by hand was slow.

Approach

Ramp built an OCR tool on Azure AI services and Azure AI Document Intelligence. Users text or upload a receipt, and the service extracts, categorizes and enriches the data. According to Microsoft, the team built and deployed it in under a week.

Results

30,000 hoursmanual work saved per monthVendor's case study[1]
5 millionreceipts processed per month, plus 400,000 invoicesVendor's case study[1]
90%+accuracy of OCR fieldsVendor's case study[1]

Takeaway

Microsoft reports 30,000 hours of manual work saved per month on receipt and invoice processing.

Categories

Innovation type
Process innovation
AI technology
Computer vision
Evidence
Vendor's case study

Sources

  1. Ramp customer story (Azure AI services)
    Microsoft30 Apr 2025Vendor publication

Source summaries

[1]Microsoft30 Apr 2025

Microsoft describes how Ramp built a receipt and invoice reader on Azure AI Document Intelligence. It lists monthly volumes, hours saved and field accuracy.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026
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