{"id":160014,"date":"2026-08-28T07:31:42","date_gmt":"2026-08-28T06:31:42","guid":{"rendered":"https:\/\/univga.org\/ia-au-travail-organisation-management\/"},"modified":"2026-08-28T07:31:42","modified_gmt":"2026-08-28T06:31:42","slug":"ai-at-work-organization-management","status":"publish","type":"post","link":"https:\/\/univga.org\/en\/ia-au-travail-organisation-management\/","title":{"rendered":"AI at work: how to succeed without disorganizing?"},"content":{"rendered":"<div class=\"veille-intro\">\n<p>Imagine a bank in Libreville deploying an artificial intelligence (AI) assistant to help its advisors respond to clients faster. Three months later, messages are sent more quickly. However, complaints are increasing. Why? No one specified which responses should be reviewed, which files should be escalated to a manager, or how to measure service quality.<\/p>\n<p>The same scenario can play out in a university, a small or medium-sized enterprise (SME), or an administration. The tool is there, teams are trying it out, but the organization hasn\u2019t really changed. This is where management becomes crucial.<\/p>\n<\/div>\n<aside class=\"veille-oneminute\">\n<p class=\"veille-oneminute__label\">What to remember in 1 minute<\/p>\n<ul>\n<li>The World Economic Forum (WEF) warns of a simple point: the tool is not enough.<\/li>\n<li>Gains remain low when old processes do not change.<\/li>\n<li>Managers must clarify responsibilities, rules, and indicators.<\/li>\n<li>AI is primarily a project of organization and leadership.<\/li>\n<\/ul>\n<\/aside>\n<h2>What is it, concretely?<\/h2>\n<p>The idea is simple: an AI can help draft, summarize, classify, or analyze certain information faster, but it does not decide for you the best way to work. If a company maintains the same validation circuits, the same gray areas, and the same poorly chosen indicators, AI is likely to only accelerate the existing disorder. The key point is therefore not just to buy software, but to review tasks, roles, controls, and training. Nothing insurmountable: an organization can proceed cautiously, starting with a few simple, measured, and framed uses.<\/p>\n<h2>Concrete case: what to do and what not to do<\/h2>\n<aside class=\"veille-case-study\">\n<p class=\"veille-case-study__intro\">Let\u2019s take Libreville Services Pro, a fictitious Gabonese SME specializing in outsourced administrative services for small businesses. Its team handles correspondence, quotes, client follow-ups, and reports. Deadlines are extending, clients are becoming impatient, and team leaders are looking for a quick solution.<\/p>\n<p class=\"veille-case-study__intro\">The temptation is strong: buy a subscription to an AI assistant and ask everyone to use it to save time. But several elements are still missing: a mapping of tasks, validation rules, performance indicators, training for managers, and clear protection of client data.<\/p>\n<div class=\"veille-case-study__grid\">\n<div class=\"veille-case-study__col veille-case-study__col--do\">\n<p class=\"veille-case-study__label\">What can be done<\/p>\n<ul>\n<li>Choose two or three simple tasks to test, such as drafts of client responses or reports.<\/li>\n<li>Appoint a business leader, not just a technician, to oversee the actual use.<\/li>\n<li>Write clear rules: what the AI can prepare, what must be reviewed, what remains prohibited.<\/li>\n<li>Compare before and after: deadlines, errors, client satisfaction, closed files.<\/li>\n<li>Train team leaders to explain, reassure, and correct misuse.<\/li>\n<\/ul>\n<\/div>\n<div class=\"veille-case-study__col veille-case-study__col--dont\">\n<p class=\"veille-case-study__label\">What not to do<\/p>\n<ul>\n<li>Buy a tool without modifying the work process.<\/li>\n<li>Let the AI make sensitive decisions for a client on its own.<\/li>\n<li>Allow anyone to copy client data into an unvalidated personal tool.<\/li>\n<li>Only look at time saved, without controlling quality.<\/li>\n<li>Forget about human resources, while adoption depends on team trust.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/aside>\n<h2>Questions to Ask Before Acting<\/h2>\n<ul>\n<li>What specific task do we want to improve with AI?<\/li>\n<li>Who remains responsible if the tool produces an inaccurate or inappropriate response?<\/li>\n<li>What data are we allowed to input into the tool?<\/li>\n<li>What results will we track: time, cost, quality, client satisfaction?<\/li>\n<li>Do managers know how to explain the use of AI to their teams?<\/li>\n<li>Is a testing phase planned before generalizing the use across the entire department?<\/li>\n<li>What do we do if employees are already using unauthorized tools?<\/li>\n<\/ul>\n<h2>UNIVGA Viewpoint<\/h2>\n<aside class=\"veille-univga-voice\">\n<p>For Gabon and Francophone Africa, the issue goes beyond technological trends. Many AI tools are designed outside the continent, with usage conditions, hosting locations, and data processing practices that organizations must understand before adopting them. In Gabon, Law No. 025\/2023 amending the framework for the protection of personal data introduces provisions related to artificial intelligence. Systems using personal or private life information may require a notice or declaration according to the stipulated modalities.<\/p>\n<p>Digital sovereignty therefore does not rely solely on IT professionals. It also depends on managers capable of asking the right questions: what problem do we want to solve? Who is in control? Who assumes responsibility? What results prove that the service is genuinely improving? In a bank, a university, a hospital, or an SME, these decisions fall under leadership.<\/p>\n<p>For the School of Management &amp; Leadership at UNIVGA, AI must be studied as a subject of strategy, change management, and collective performance. The real question is not 'which tool to buy?', but 'what organization do we want to build with AI?'.<\/p>\n<\/aside>\n<aside class=\"veille-univga-encart\">\n<p class=\"veille-univga-encart__label\">Training at UNIVGA<\/p>\n<p>UNIVGA offers professional certifications in many fields. Browse the complete catalog of our schools and training programs to find the path that suits your project.<\/p>\n<p><a href=\"https:\/\/univga.org\/en\/our-training-courses\/\">Discover our training programs<\/a><\/aside>\n<h2>Sources<\/h2>\n<ol>\n<li><a href=\"https:\/\/www.weforum.org\/stories\/artificial-intelligence\/ai-why-workflows-matter-more-than-software\/\">World Economic Forum, The AI workplace revolution: Are organizations ready or not?<\/a><\/li>\n<li><a href=\"https:\/\/mitsloan.mit.edu\/ideas-made-to-matter\/how-organizations-can-capture-value-digital-colleagues\">MIT Sloan, How organizations can capture value from digital colleagues<\/a><\/li>\n<li><a href=\"https:\/\/www.gallup.com\/workplace\/712976\/ai-effect-workplace-culture.aspx\">Gallup, AI&rsquo;s Effect on Workplace Culture<\/a><\/li>\n<li><a href=\"https:\/\/www.gartner.com\/en\/documents\/8231061\">Gartner, AI-Workplace Outlook for 2Q26<\/a><\/li>\n<li><a href=\"https:\/\/journal-officiel.ga\/20085-025-2023\/?utm_source=openai\">Official Journal of the Gabonese Republic, law n\u00b0025\/2023<\/a><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Buying an AI tool is not enough. Discover how managers and teams can transform work without losing control or quality.<\/p>","protected":false},"author":6945,"featured_media":160015,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1969],"tags":[2086,1980,2001,2000,2085],"offerexpiration":[],"class_list":["post-160014","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-veille-technologique","tag-conduite-du-changement","tag-intelligence-artificielle","tag-leadership","tag-management","tag-organisation-du-travail"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.9 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>IA au travail : r\u00e9ussir la transformation sans d\u00e9sordre<\/title>\n<meta name=\"description\" content=\"Acheter une IA ne suffit pas : d\u00e9couvrez comment organiser le travail, former les managers et 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