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AI-Powered Flight Compensation Claims Automation Platform
  1. case
  2. AI-Powered Flight Compensation Claims Automation Platform

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AI-Powered Flight Compensation Claims Automation Platform

qubiz.com
Legal
Business services
Information technology

Operational Inefficiencies in Claims Processing

Managing 25K+ claims annually with manual processes caused excessive workload, delayed responses, and inconsistent classification of airline responses. Key pain points included manual document verification, email categorization, and data extraction from legal documents.

About the Client

Legal services provider specializing in flight compensation claims processing

Automation & Efficiency Goals

  • Automate 80%+ of manual claims processing tasks
  • Reduce average claim processing time by 60%
  • Improve response accuracy through AI classification
  • Enable 24/7 customer support via intelligent chatbots
  • Scale operations to handle 15K+ annual claims

Core System Capabilities

  • Automated document verification and data extraction (passports, tickets)
  • AI-powered airline response classification (acceptance/rejection)
  • Predictive claim success analysis using historical data
  • ChatGPT-based customer support chatbot with NLP capabilities
  • Integrated email automation for document requests
  • Multi-tenant whitelabel CMS with regional compliance adaptation
  • Real-time dashboard for claim status tracking and analytics

Technology Stack

ChatGPT for NLP and predictive analysis
Microsoft Bot Framework with LUIS
Python-based ML models
Cloud-native microservices architecture
Document processing APIs (OCR, NLP)

System Integrations

  • Airline APIs for flight status data
  • Payment gateways for compensation disbursement
  • Digital signature platforms
  • Third-party ID verification services
  • Customer relationship management (CRM) systems

Operational Requirements

  • 99.9% system uptime with auto-scaling capabilities
  • GDPR-compliant data handling
  • Real-time processing with <2s response times
  • Support for 1000+ concurrent users
  • Automated model retraining pipeline

Business Impact

Enables 3x faster claim processing, reduces manual workload by 70%, improves customer satisfaction through instant responses, and increases successful claim resolution rate by 40% while maintaining compliance with EU regulations.

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