{"id":57916,"date":"2025-10-03T11:44:56","date_gmt":"2025-10-03T08:44:56","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=57916"},"modified":"2026-03-28T08:24:50","modified_gmt":"2026-03-28T05:24:50","slug":"crucial-lack-of-expertise-behind-failure-of-95-of-enterprise-ai-projects","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/crucial-lack-of-expertise-behind-failure-of-95-of-enterprise-ai-projects\/","title":{"rendered":"Crucial Lack of Expertise Behind Failure of 95% of Enterprise AI Projects"},"content":{"rendered":"\n

Technology limitations not to blame for widespread AI implementation failures<\/p>\n\n\n\n

Voice expected to emerge as fastest-growing AI-powered customer service channel<\/p>\n\n\n\n

LONDON: 03\/10\/25<\/p>\n\n\n\n

A stark reality check awaits contact centre leaders pursuing AI transformation: whilst 95% of enterprise AI initiatives fail to reach production, the underlying cause isn’t technological limitations \u2014 it’s the critical shortage of expertise needed to execute successfully.<\/p>\n\n\n\n

Stuart Dorman, Chief Innovation Officer at Sabio Group, delivered this sobering message to delegates at the UK National Contact Centre Conference earlier this week, challenging the industry’s approach to AI adoption whilst revealing why voice interaction could become the dominant customer service channel within three years.<\/p>\n\n\n\n

\u201cBig tech wants you to believe AI deployment is simple \u2014 just plug in and transform your operation,\u201d said Stuart. \u201cThe reality is starkly different. Anyone can build a demo bot in an afternoon, but scaling AI to handle thousands of voice interactions at high performance levels requires expertise that many organisations simply don’t possess.\u201d<\/p>\n\n\n\n

Stuart\u2019s session at the conference exposed the uncomfortable truth behind why so many AI implementations fail. Successful deployment demands a rare combination of skills: user experience design, linguistics expertise, AI prompt engineering, data science capabilities, systems integration knowledge, and in the contact centre, a deep understanding of operations.<\/p>\n\n\n\n

\"Sabio<\/a>
Sabio CIO, Stu Dorman, addresses a packed room at the UK National Contact Centre Conference<\/figcaption><\/figure>\n\n\n\n

Stuart explained. \u201cThe cost of AI technology is plummeting \u2014 ChatGPT tokens have reduced 1,000-fold in just three years for example \u2014 but expertise to exploit this technology is difficult to find as demand outstrips supply. It\u2019s particularly becoming harder in the contact centre, where organisations are struggling to find the skilled resources required to bring AI to life within a CX transformation.\u201d<\/p>\n\n\n\n

This creates a paradox: whilst underlying AI model costs decrease 10-fold annually, the specialist knowledge required for implementation becomes increasingly expensive and scarce.<\/p>\n\n\n\n

Stuart added: \u201cMost AI deployments are internally facing \u2018knowledge agents\u2019 and these are great as a starting point, but they are only scratching the surface of what AI can do. There are lots and lots of exciting potential use cases where AI has an external focus and this is where the true potential for AI technology lies. That\u2019s something that we\u2019re actively discussing with our customers at the minute.\u201d<\/p>\n\n\n\n

Voice: The biggest opportunity for productivity gains<\/h2>\n\n\n\n

Contradicting predictions of text-based dominance, Stuart argued that voice will become the fastest-growing customer service channel over the next three years, driven by a fundamental human preference. \u201cThat\u2019s providing organisations stop trying to prevent customers from speaking to them by hiding phone numbers and forcing the use of poorly implemented chatbots,\u201d said Stuart.<\/p>\n\n\n\n

\n

\u201cWe speak at 150 words per minute but type at only 40,\u201d he told delegates. \u201cAs AI eliminates traditional channel boundaries, customers will naturally gravitate towards voice interaction. The future isn’t about replacing phone support \u2014 instead it’s about making every digital touchpoint conversational.\u201d<\/p>\n<\/blockquote>\n\n\n\n

The conference tackled a provocative proposition: can AI actually deliver superior customer experiences compared to human agents for specific interaction types? Early implementations suggest this isn’t just possible but inevitable.<\/p>\n\n\n\n

\u201cWhat happens to your operation when you can deliver better experiences at 10 times lower cost?” Stuart asked delegates. \u201cThis isn’t about doing more with less \u2014 it’s about unlocking entirely new service possibilities.\u201d<\/p>\n\n\n\n

The Implementation Reality Check<\/h2>\n\n\n\n

For the estimated 30% of Fortune 500 companies planning single AI-enabled channels by 2028, the message is clear: success depends more on implementation expertise than technology selection.<\/p>\n\n\n\n

\n

\u201cThe organisations thriving in AI transformation aren’t necessarily those with the biggest budgets,\u201d concluded Stuart. \u201cThey’re the ones who recognise that expert guidance through the complexity of real-world deployment is non-negotiable.\u201d<\/p>\n<\/blockquote>\n\n\n\n

The UK National Contact Centre Conference was held on 30th September at the QE11 Centre, Westminster. The conference brings together industry leaders to address modern contact centre challenges and trends, including practical AI implementation opportunities.<\/p>\n","protected":false},"excerpt":{"rendered":"

Technology limitations not to blame for widespread AI implementation failures Voice expected to emerge as fastest-growing AI-powered customer service channel LONDON: 03\/10\/25 A stark reality check awaits contact centre leaders pursuing AI transformation: whilst 95% of enterprise AI initiatives fail to reach production, the underlying cause isn’t technological limitations \u2014 it’s the critical shortage of […]<\/p>\n","protected":false},"author":10,"featured_media":57917,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"","_yoast_wpseo_opengraph_title":"","_yoast_wpseo_opengraph_description":"","_yoast_wpseo_opengraph_image":"","_yoast_wpseo_opengraph_image_id":0,"_yoast_wpseo_twitter_title":"","_yoast_wpseo_twitter_description":"","_yoast_wpseo_twitter_image":"","_yoast_wpseo_twitter_image_id":0,"_yoast_wpseo_primary_category":449,"_extra_hide_author_box":"","_extra_featured_post":"","_partner_post_id":0,"footnotes":""},"categories":[449],"tags":[],"class_list":["post-57916","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","et-has-post-format-content","et_post_format-et-post-format-standard"],"yoast_head":"\nenterprise AI projects - Expertise gap behind failure | | Saudi Shopper<\/title>\n<meta name=\"description\" content=\"Enterprise AI projects: 95% fail to reach production, not due to tech limits. 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