Quick Overview
ARAG leveraged Rydoo’s AI to scan receipts and autofill expense details with over 95% accuracy. Automated approval workflows prioritize manual review for complex or high-value expenses, enabling faster, error-free submissions. This resulted in significant cost savings, nearly 100% digital workflow, and faster approvals.
ARAG
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Reducing errors and delays in expense reporting and approvals
Key Metrics
\- 95%+ autofill accuracy\- Near 100% digital workflow\- Faster approvals\- Significant cost savings
The Problem
Manual entry errors and slow approval processes increased costs and delayed reimbursements
The Solution
AI-powered receipt scanning, autofill, and rule-based automated approval workflows
Results
\- Faster, more accurate expense submissions\- Reduced manual workload\- Improved compliance and cost control
Details
Industry
Finance & Banking
Departments
Finance & Accounting
Use Cases
Expense Management
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
No items found.
Sources
https://www.rydoo.com/resources/case-study/other/ai-data-expense-management-arag/
More Case Studies
See All
How TLG Marketing Uses AI-Driven Analytics to Enhance Customer Feedback Response and Satisfaction in Retail
Marketing & Advertising
How Kredito Uses AI-Based Risk Assessment to Improve Payment Behavior Prediction and Accelerate Working Capital Access
Finance & Banking
How a Global Software Project Used an AI Chatbot to Improve Communication and Accelerate Delivery
Technology & SaaS
How Nike and AKQA Used AI and Machine Learning to Simulate a Virtual Tennis Match Between Serena Williams’ Past and Present Selves
Retail & E-commerce
How Knock Uses AI to Streamline Home Trade-In Process and Improve Match Rates
Real Estate
How JIFFY.ai Delivered 85% Straight-Through Invoice Processing for a Large Automobile Manufacturer
Manufacturing