Travel & HospitalityDocument IntelligenceConversational AI
Air France-KLM's EyeLevel RAG chatbot hits 96.2% accuracy on airline policy questions, beating its 60% target
Air France/KLM identified airline customer service as a prime use case for generative AI, with a goal of a chatbot trained on thousands of policy documents that could help customer service agents answer traveler questions in seconds. In a three-month test, EyeLevel.ai ingested PDF documents about KLM and Air France services into its retrieval-augmented generation platform; Air France/KLM experts wrote questions, reviewed responses and scored accuracy against the source documents. After an optimization process tuning style, formatting and tone, the assistant reached 96.2% accuracy against a 60% proof-of-concept target.
Air France-KLMEyeLevel.ai RAG platform
