SIA Runs 160+ AI Applications in Push to Become a Leading 'Digital Airline'

Singapore Airlines has long been the benchmark for service in Asian aviation, and the national carrier is now trying to make that edge an artificial intelligence story. More than eight years into a digital transformation that began in 2018, when CEO Goh Choon Phong personally stepped up to champion AI as a “strategic value”, the airline says it is running more than 160 AI applications across its operations — and it has identified over 550 potential generative AI use cases still to come.

The numbers give a sense of the scale. A CEO-chaired committee was formed early on, and the board endorsed an AI blueprint spanning business value and the future of work, according to George Wang, SIA’s senior vice-president of information technology. The most visible payoff is Kris, the airline’s chatbot, which has nearly doubled its customer satisfaction score since a relaunch in July 2025. Behind the scenes, AI is also tightening crew scheduling — a famously complex puzzle of rosters, regulations and fatigue limits — alongside the customer-facing gains.

SIA’s push matters beyond the airline because it sits at the intersection of two of Singapore’s most watched AI narratives: the government’s push to make enterprises genuinely productive with AI, and the country’s standing as a regional aviation and services hub. A flagship company embedding AI into customer service and internal operations with board-level backing is exactly the kind of adoption signal policymakers point to when they argue Singapore’s advantage is in using AI well, not just building models.

The implications cut across industries. SIA’s experience suggests the returns from AI are rarely a single dramatic launch — they come from compounding small applications across scheduling, support and operations. That is a useful counterpoint to the surveys showing many Singapore firms still stuck in pilot mode. It also shows AI’s workforce effect is about shifting how jobs get done — crew planning became more efficient, not necessarily smaller — which lands directly in the middle of Singapore’s conversations about AI, productivity and ageing workforce.

Why it matters for Singapore: When the country’s national carrier — one of its most visible global brands — runs 160-plus AI applications with a C-suite mandate, it gives other Singapore companies a homegrown reference point for what serious AI adoption looks like. As Singapore positions itself as a hub where AI lifts productivity across services, SIA is a live demonstration that the strategy can work at scale, and that adoption is a slow, disciplined build rather than a headline moment.