How International Rescue Committee Implements AI Chatbot to Streamline Refugee Claim Processing

By: GoBeyond Team
August 10, 2026
3 min read
IRC AI chatbot interface for refugee claims

Quick Overview

IRC deployed an AI-powered chatbot using natural language processing to process refugee claims faster and more accurately, improving asylum seeker support.

International Rescue Committee (IRC)
International Rescue Committee (IRC)
Company Size
~5,000 employees
Revenue Range
Not publicly disclosed
Primary Challenge
Improving efficiency and accuracy in refugee claim processing
Key Metrics

- Streamlined case processing
- Faster response times
- Enhanced support effectiveness

The Problem

Manual claim processing was slow and error-prone

The Solution

Developed AI chatbot to automate claim intake and provide real-time assistance

Results

- Reduced processing times
- Improved accuracy and client satisfaction

Details

Industry
Nonprofit & NGO
Departments
Customer Support & Service
Use Cases
Live Chat Support
Knowledge Base Creation
Tags
NLP
Time-Saving
Improved Accuracy
Client Satisfaction
Educators
AI Tools Used
No items found.
Sources
https://www.linkedin.com/pulse/what-some-real-world-examples-ai-improving-efforts-abhijit-deshmukh-j8fif

More Case Studies

See All
How JPMorgan Chase Leverages AI Across Banking Operations to Boost Sales, Manage Risks, and Enhance Client Experiences
Finance & Banking
How Cylance Prevents Zero-Day Attacks and Insider Threats Using AI
Technology & SaaS
How Shell Oil Reduced Equipment Downtime by 40% and Saved $2M Annually with AI
Manufacturing
How Holcim EMEA Digital Center Used GitHub Copilot to Accelerate Large-Scale Salesforce Code Refactoring and Improve Performance
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 Vinci Construction Uses AI to Automate Document Administration and Improve Project Reporting
Construction

🤖 Chat with AI

Type...