Wrtn Azure OpenAI Service Customer Story
When Ramp needed a faster way to process growing volumes of expense receipts across platforms, it adopted Microsoft Azure AI services. In this customer story, the company shares how the move enables it to process millions every month and save thousands of hours of manual work through automation. Read the story for inspiration.
How did Ramp use Microsoft Azure AI to automate finance workflows?
Ramp wanted to remove as much manual work as possible from everyday finance tasks such as tracking receipts, filing expense reports, and paying multi-line invoices. To do this, the team built a custom OCR (optical character recognition) solution on top of Microsoft Azure AI services and Azure AI Document Intelligence.
With this setup, Ramp users can simply text or upload a receipt. Behind the scenes, Azure AI automatically:
- Extracts the data from the document
- Categorizes and enriches that data
- Converts it into structured, usable information in seconds
This approach turns what used to be repetitive admin work into an automated, streamlined process. As a result, Ramp now processes about 400,000 invoices and 5 million receipts every month, while maintaining speed, accuracy, and security across its platform. The automation helps customers spend less time chasing receipts and more time focusing on running and growing their business.
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 improvements in efficiency and scale:
- Around 30,000 hours of manual work are saved every month.
- Approximately 5 million receipts and 400,000 invoices are processed monthly through the automated workflows.
- Each automated receipt can save up to a minute of manual effort; even at 15 seconds saved per item, the time savings add up quickly at Ramp’s volume.
These gains translate into:
- Faster, more accurate finance workflows for customers
- Less time spent on low-value admin tasks like filing expense reports
- More capacity for teams to focus on higher-impact work and business growth
The automation also supports Ramp’s ability to serve both fast-growing businesses and larger enterprises, while maintaining the level of reliability and security those customers expect.
Why did Ramp choose Microsoft Azure for AI and DevOps?
Ramp chose Microsoft Azure as its core platform for both AI and DevOps because it aligned with the company’s goals around speed, reliability, and scalability.
Key reasons for choosing Azure:
- Strong AI capabilities: Azure AI services and Azure AI Document Intelligence provided prebuilt models that let Ramp’s lean team build and deploy a custom OCR solution in under a week.
- Performance and cost: Ramp cites Azure’s reliability, low latency, and cost benefits as important factors.
- Enterprise readiness: Azure’s security, performance, and integrations (e.g., Dynamics 365 Finance and Operations, Microsoft Entra) support Ramp’s work with larger enterprise customers.
- Partner support: Ramp highlights the responsiveness and expertise of the Microsoft Unified and product teams, which helped them move quickly and stay unblocked.
On the engineering side, Ramp has also moved DevOps processes to Azure and GitHub:
- GitHub Copilot is embedded in daily workflows, helping engineers ship code faster with fewer blockers.
- GitHub Actions and hosted runners allow parallel CI pipelines, reduce the need to manage internal CI infrastructure, and centralize logs and outputs.
Together, Azure and GitHub give Ramp’s developers a more efficient environment and help the company reimagine how finance teams manage spend, expenses, and procurement at scale.

Wrtn Azure OpenAI Service Customer Story
published by Geneva Communications and Control
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