{"id":7738,"date":"2026-06-05T12:54:37","date_gmt":"2026-06-05T04:54:37","guid":{"rendered":"https:\/\/moresourcing.com\/create-generative-ai-value-at-scale\/"},"modified":"2026-06-05T12:54:37","modified_gmt":"2026-06-05T04:54:37","slug":"create-generative-ai-value-at-scale","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/en\/create-generative-ai-value-at-scale\/","title":{"rendered":"Create Generative AI Value at Scale"},"content":{"rendered":"<p><\/p>\n<div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" alt=\"\" class=\"wp-image-127449\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Create-Generative-AI-Value-at-Scale.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Create-Generative-AI-Value-at-Scale.jpg\"\/><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Create-Generative-AI-Value-at-Scale.jpg\" alt=\"\" class=\"wp-image-127449\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Create-Generative-AI-Value-at-Scale.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/05\/2026SUMMER_Schmitt-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<p class=\"attribution\">Christian Gralingen<\/p>\n<\/figcaption><\/figure>\n<aside class=\"callout-info\">\n<h4>The Research<\/h4>\n<p>Over three years (2022-2025), two of the authors (Kevin and Ivo) engaged with 23 Swiss companies that were members of a research consortium focused on generative AI. The study participants represented a diverse array of industries: retail banking, investment banking, health insurance, insurance, medical coding, energy, law, laboratory instrument manufacturing, equipment manufacturing, postal services, and technology consulting. During the research period, the authors gathered data from more than 10 workshops that the consortium convened and conducted an additional 87 in-depth semi-structured interviews with front-line employees, business leaders, technology leaders, data leaders, and C-suite executives.<\/p>\n<\/aside>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">Summary: <\/strong><\/p>\n<p>Companies that have established a new kind of internal AI organization called the \u201cAI spine\u201d are using the cross-functional structure to rapidly develop innovative generative AI use cases with users\u2019 help. The spine enables greater sharing of ideas and expertise across business units, which helps spark new ideas about where GenAI can be used to improve processes organizationwide. Disciplined project governance keeps the company\u2019s resources focused on where a positive impact from AI is likeliest.<\/p>\n<\/div>\n<div class=\"article-narration\">\n<p>    <a href=\"#narration\" id=\"narrationModal\" class=\"j-audio-trigger current-speed\" title=\"Create Generative AI Value at Scale\"><br \/>\n        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"50\" height=\"50\" viewbox=\"0 0 50 50\" fill=\"none\">\n            <g clip-path=\"url(#clip0_2534_8292)\">\n            <g clip-path=\"url(#clip1_2534_8292)\">\n            <path d=\"M25 50C38.8071 50 50 38.8071 50 25C50 11.1929 38.8071 0 25 0C11.1929 0 0 11.1929 0 25C0 38.8071 11.1929 50 25 50Z\" fill=\"#005B9C\"\/>\n            <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M19.985 25.0001V17.0708C19.985 16.5579 20.6336 16.2585 21.1033 16.5547L27.245 20.4252L33.6852 24.4837C34.0849 24.7358 34.0849 25.2645 33.6852 25.5166L27.245 29.5753L21.1033 33.4458C20.6336 33.7418 19.985 33.4423 19.985 32.9294V25.0001Z\" fill=\"white\"\/>\n            <\/g>\n            <\/g>\n            <defs>\n            <clippath id=\"clip0_2534_8292\">\n            <rect width=\"50\" height=\"50\" fill=\"white\"\/>\n            <\/clippath>\n            <clippath id=\"clip1_2534_8292\">\n            <rect width=\"50\" height=\"50\" fill=\"white\"\/>\n            <\/clippath>\n            <\/defs>\n        <\/svg><br \/>\n        <span>Listen to \u201cCreate Generative AI Value at Scale\u201d <span>(26:15)<\/span><\/span><br \/>\n    <\/a>\n<\/div>\n<p><span class=\"smr-leadin\">Generative AI<\/span> presents an organizational puzzle. Businesses have collectively invested billions of dollars to give employees access to general-purpose large language models (LLMs) to enhance personal productivity while in most cases struggling to develop and adopt more strategic applications of the technology. Meaningful return on investment, much less competitive advantage, is likely to remain elusive unless companies can use GenAI to make innovative process improvements that scale across functions and business units.<a id=\"reflink1\" class=\"reflink\" href=\"#ref1\">1<\/a><\/p>\n<p>Our interviews with 87 practitioners in 23 large organizations revealed that leaders who scale value creation with generative AI cultivate three key practices. First, they expand the scope of use cases across processes rather than remaining focused on a specific task. Second, they treat each use case as a work in progress to be continually improved. And third, they quickly identify and abandon use cases that fail to bring measurable value to the organization.<\/p>\n<p>However, most traditional companies are not structured to institutionalize these three practices. Many operate as multidivisional organizations characterized by multiple profit and loss units with duplicated functions, limited cross-functional information flow, and internal competition for resources.<a id=\"reflink2\" class=\"reflink\" href=\"#ref2\">2<\/a> This setup makes it difficult to scale generative AI use cases across processes and units.<\/p>\n<p>In our research, we found that the few leaders who are overcoming these challenges are moving beyond the classical hub-and-spoke models that many organizations have used to connect centralized AI technical expertise to each unit. They are developing a new kind of internal resource that we call the <em>AI spine.<\/em> It provides a flexible core structure for implementing, evolving, and abandoning LLM use cases at scale, keeping the generative AI portfolio both focused and current. <\/p>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">About the Authors<\/h4>\n<div class=\"article-authors__bio\">\n<p>Kevin Schmitt is a research associate at the Institute of Information Systems and Digital Business at the University of St. Gallen. Gregory Vial is an associate professor in the Department of Information Technologies at HEC Montr\u00e9al. Ivo Blohm is an associate professor at the Institute of Information Systems and Digital Business at the University of St. Gallen.<\/p>\n<\/div><\/div>\n<div class=\"article-ref\" id=\"article-ref\">\n<h4 class=\"article-ref__title\">References<\/h4>\n<div class=\"article-ref__list\">\n<p id=\"ref1\"><b>1.<\/b> M. Wade, K. Trantopoulos, M. Navas, et al., \u201c<a href=\"https:\/\/sloanreview.mit.edu\/article\/how-to-scale-genai-in-the-workplace\/\">How to Scale GenAI in the Workplace<\/a>,\u201d\u00a0MIT Sloan Management Review, July 8, 2025, https:\/\/sloanreview.mit.edu; and E. Mollick, \u201c<a href=\"https:\/\/sloanreview.mit.edu\/article\/reinventing-the-organization-for-genai-and-llms\/\">Reinventing the Organization for GenAI and LLMs<\/a>,\u201d\u00a0MIT Sloan Management Review, April 2, 2024, https:\/\/sloanreview.mit.edu.<\/p>\n<p id=\"ref2\"><b>2.<\/b> P. Reineke, R. Katila, and K.M. Eisenhardt, \u201cDecentralization in Organizations: A Revolution or a Mirage?\u201d Academy of Management Annals 19, no. 1 (January 2025): 298-342, <a href=\"https:\/\/doi.org\/10.5465\/annals.2022.0206\" target=\"_blank\">https:\/\/doi.org\/10.5465\/annals.2022.0206<\/a>.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"article-doi\">\n    <a href=\"https:\/\/doi.org\/10.63383\/vveF4479\" target=\"_blank\" class=\"article-doi__number\">https:\/\/doi.org\/10.63383\/vveF4479<\/a>\n<\/div>\n<\/div>\n<p>#Create #Generative #Scale<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Christian Gralingen The Research Over three years (2022-2025), two of the authors (Kevin and Ivo) engaged with 23 Swiss companies that were members of a research consortium focused on generative AI. The study participants represented a diverse array of industries: retail banking, investment banking, health insurance, insurance, medical coding, energy, law, laboratory instrument manufacturing, equipment [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7739,"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-7738","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>Create Generative AI Value at Scale - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/en\/create-generative-ai-value-at-scale\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Create Generative AI Value at Scale\" \/>\n<meta property=\"og:description\" content=\"Christian Gralingen The Research Over three years (2022-2025), two of the authors (Kevin and Ivo) engaged with 23 Swiss companies that were members of a research consortium focused on generative AI. 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