Ramp saves 30K hours and automates 5M receipts monthly with Microsoft Azure AI Platform
Speed and visibility can limit development as teams scale. This customer story shows how Ramp uses Azure and GitHub Copilot to help developers ship code faster with fewer blockers. Read the story to see how modern DevOps workflows support faster iteration and stronger developer productivity.
How does Ramp use Microsoft Azure AI to automate finance workflows?
Ramp uses Microsoft Azure AI services and Azure AI Document Intelligence to power a custom OCR (optical character recognition) solution that automates key finance workflows.
From a user’s perspective, the process is simple: they can text or upload a receipt, and Ramp handles the rest. Behind the scenes, Azure AI automatically:
- Extracts data from receipts and invoices
- Categorizes the information (e.g., merchant, amount, date, line items)
- Enriches it into structured, usable data for expense and bill-pay workflows
This setup helps Ramp:
- Deliver fast, accurate, and secure finance workflows at scale
- Reduce the time employees spend on repetitive admin work like filing expense reports or paying multi-line invoices
- Support both end users and internal finance teams with the same high-performance tools
The result is a more streamlined experience that reimagines traditional finance operations and lets customers focus on running and growing their business instead of chasing receipts.
What measurable impact has Azure AI had on Ramp’s operations?
Ramp’s use of Microsoft Azure AI and Document Intelligence has led to clear, measurable outcomes across its finance workflows.
Key results include:
- 30,000 hours of manual work saved every month by automating previously repetitive finance tasks.
- 5 million receipts processed monthly, along with about 400,000 invoices, using Ramp’s custom OCR solution.
- Each automated receipt can save up to 15–60 seconds, which compounds significantly at this volume.
These efficiencies translate into:
- Finance teams closing books faster
- Employees spending less time on expense reports and invoice entry
- Customers focusing more on growth activities instead of manual admin work
Ramp’s lean engineering team was also able to build and deploy the custom OCR solution in under a week, using Azure Document Intelligence, Azure AI services, and tools like Microsoft Visual Studio. This combination has helped Ramp scale quickly while maintaining speed, accuracy, and security for both fast-growing and enterprise customers.
Why did Ramp choose Microsoft Azure as its AI and DevOps foundation?
Ramp chose Microsoft Azure as its core platform for AI and DevOps because it aligned with both its technical requirements and growth plans.
Key reasons for choosing Azure include:
- Reliability and low latency for AI-powered workflows that need to feel instant to end users.
- Cost benefits that support scaling to millions of receipts and hundreds of thousands of invoices each month.
- Prebuilt models in Azure AI Document Intelligence, which keep teams unblocked and speed up development.
- Responsive Microsoft support (via the Microsoft Unified team), helping Ramp move quickly and address issues as they scale.
- Enterprise-grade security, performance, and reliability, which is important as Ramp earns the trust of larger enterprise customers.
Beyond OCR and document processing, Ramp has also:
- Migrated its DevOps processes to Azure
- Embedded GitHub Copilot into daily engineering workflows
- Used GitHub Actions and hosted runners to run CI pipelines in parallel and reduce internal CI infrastructure overhead
This combination helps Ramp’s engineers ship code faster, with fewer blockers and better visibility, while the business continues to expand into new markets, add integrations (such as Dynamics 365 Finance and Operations and Microsoft Entra), and support a growing base of finance professionals who want smarter, more unified tools.
Ramp saves 30K hours and automates 5M receipts monthly with Microsoft Azure AI Platform
published by Weston Technology Group, LLC.
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