{"id":13946,"date":"2025-10-28T06:13:01","date_gmt":"2025-10-28T10:13:01","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13946"},"modified":"2025-10-28T11:12:25","modified_gmt":"2025-10-28T15:12:25","slug":"how-twilio-uses-its-own-ai-builder-to-transform-customer-conversations","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-twilio-uses-its-own-ai-builder-to-transform-customer-conversations\/13946\/","title":{"rendered":"How Twilio Uses Its Own AI Builder to Transform Customer Conversations"},"content":{"rendered":"Originally published on\u00a0WIRED. AI assistant prototype tripled customer conversions and scaled to support 80 countries and 12 languages. SHOWING A DEMO of a flashy, generative AI-powered customer agent is easy. Both newly formed startups and established tech leaders are offering them up\u2014and the market is only trending upwards. The use cases are far ranging: personalized onboarding, delivery management, automating customer support, appointment scheduling, the list goes on. It almost sounds too good to be true \u2014and, sometimes, it is. Production is much harder to pull off than a canned demo, especially at scale. While it\u2019s easy to dream <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-twilio-uses-its-own-ai-builder-to-transform-customer-conversations\/13946\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published on\u00a0WIRED. AI assistant prototype tripled customer conversions and scaled to support 80 countries and 12 languages. SHOWING A DEMO of a flashy, generative AI-powered customer agent is easy. Both newly formed startups and established tech leaders are offering them up\u2014and the market is only trending upwards. The use cases are far ranging: personalized [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-13946","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13946"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13946\/revisions"}],"predecessor-version":[{"id":13951,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13946\/revisions\/13951"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}