How Will AI Transform Customer Support? [Ft. John Wang, Assembled]

Customer support exists to paper over product gaps. As AI handles more tier-one resolution, the question isn't whether automation replaces humans, but where human intervention becomes luxury versus necessity. John Wang, Co-founder and CTO at Assembled, outlines the execution challenges leaders overlook when deploying AI support systems. AI tackles straightforward requests, but high-touch service remains defensible. The Four Seasons commands premium pricing despite automation everywhere else in hospitality because customers pay for human judgment in complex situations. Support will bifurcate the same way. But the real constraint isn't model capability. AI performance is capped by what you feed it. Most companies point agents at outdated Confluence wikis expecting magic. Documentation quality now directly impacts support economics, and teams that treated internal docs as nice-to-have now face a forcing function. Topics discussed: Bifurcation between tier-one AI automation and premium human support Four Seasons pricing model applied to customer support economics Documentation quality as primary bottleneck for AI support performance Outdated Confluence documentation creating AI failure modes AI-generated requirement docs reducing documentation friction Organizational discipline around SOPs determining AI adoption speed Internal documentation shifting to critical AI training infrastructure