{"id":4541,"date":"2025-11-27T23:14:50","date_gmt":"2025-11-27T15:14:50","guid":{"rendered":"https:\/\/moresourcing.com\/ai-agents-arent-ready-for-consumer-facing-work-but-they-can-excel-at-internal-processes\/"},"modified":"2025-11-27T23:14:50","modified_gmt":"2025-11-27T15:14:50","slug":"ai-agents-arent-ready-for-consumer-facing-work-but-they-can-excel-at-internal-processes","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/ru\/ai-agents-arent-ready-for-consumer-facing-work-but-they-can-excel-at-internal-processes\/","title":{"rendered":"AI Agents Aren\u2019t Ready for Consumer-Facing Work\u2014But They Can Excel at Internal Processes"},"content":{"rendered":"<p><\/p>\n<p>A project at a European telecom shows why companies should start small and focus on back-end tasks.<\/p>\n<p>#Agents #Arent #Ready #ConsumerFacing #WorkBut #Excel #Internal #Processes<\/p>","protected":false},"excerpt":{"rendered":"<p>A project at a European telecom shows why companies should start small and focus on back-end tasks. #Agents #Arent #Ready #ConsumerFacing #WorkBut #Excel #Internal #Processes<\/p>","protected":false},"author":1,"featured_media":4542,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-4541","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Agents Aren\u2019t Ready for Consumer-Facing Work\u2014But They Can Excel at Internal Processes - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"Companies can create value with agentic AI, but they often start in the wrong place. While it can be tempting to use agentic AI for customer-facing applications, those tend to be complex, messy, and unforgiving of errors\u2014not ideal for agentic AI. Back-end operations, however, are a better fit. A project at a European telecom illustrates what this looks like. Focusing on reducing the time and cost for service calls, the company was able to use agents to reduce resolution time by 60%, save more than a million euros on a recurring annual basis, and significantly improve the company\u2019s net promoter score. 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Back-end operations, however, are a better fit. A project at a European telecom illustrates what this looks like. Focusing on reducing the time and cost for service calls, the company was able to use agents to reduce resolution time by 60%, save more than a million euros on a recurring annual basis, and significantly improve the company\u2019s net promoter score. 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