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)
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
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