Transport Ticketing Global 2026

Public transport authorities face rising volumes of repetitive queries and increasing costs for multilingual customer support. ATTG demonstrates how lightweight, compressed AI models can power a multilingual conversational agent in Spanish, English and Basque, resolving most incidents automatically while escalating complex cases to human staff. By replacing large models with efficient compressed ones, ATTG achieves real-time performance, lowers energy consumption and CO2 emissions and supports on-prem or sovereign-cloud deployment. This case shows how AI can improve customer satisfaction, streamline operations and advance sustainability goals without compromising inclusivity.