Deploying front-end AI chatbots is table stakes; building an interconnected data infrastructure that resolves the chaotic, high-variety reality of global travel is where true operational value lies. This session discusses scaling an end-to-end agentic ecosystem from booking conversion to live participation. Discover how Klook pairs machine learning with social media extraction for custom planning, and maps internal and external signals to power proactive mitigation loops—such as leveraging multi-source risk detection to trigger rapid customer mitigations during typhoons. We will explore the under-the-hood symbiosis of this evolving framework, sharing how deployed risk detection and agent-facing intelligence—such as interaction summaries and automated needs identification—are bridging toward our active prototypes for AI Team Leaders and real-time workforce analysis. Finally, we address the ultimate architectural climax: why building this high-reliability service infrastructure transforms the competitive threat of consumer AI agents into Klook’s greatest new customer channel, positioning platforms with deep merchant relationships as the essential backbone of the emerging AI-agent economy.