{"id":1680,"date":"2025-09-16T20:55:20","date_gmt":"2025-09-16T20:55:20","guid":{"rendered":"http:\/\/localhost\/?p=1680"},"modified":"2025-09-16T21:37:45","modified_gmt":"2025-09-16T21:37:45","slug":"lia-generative-pour-automatiser-ses-workflows","status":"publish","type":"post","link":"http:\/\/localhost\/en\/tech-generative-ai-ia-generative\/lia-generative-pour-automatiser-ses-workflows\/","title":{"rendered":"generative AI to automate workflows"},"content":{"rendered":"<h2 class=\"wp-block-heading\">The democratization of generative AI<\/h2>\n\n\n\n<p>Since 2023, generative AI (GenAI) has moved beyond the lab to become an everyday tool. Startups, SMEs, associations, public institutions: everyone can now use platforms like <strong>ChatGPT, Claude, Gemini, Mistral<\/strong> Or <strong>Llama<\/strong> to automate repetitive tasks, generate content, analyze data, or even create application prototypes.<br>Thanks to solutions <strong>off the shelf<\/strong> (Zapier AI Actions, Make, Power Automate, Notion AI, HubSpot AI, GitHub Copilot), it is now possible to quickly set up <strong>automated workflows<\/strong> without writing a single line of code.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Agents and workflow automation<\/h2>\n\n\n\n<p>The next step after prompt engineering is that of <strong>AI agents<\/strong>These \u201cintelligent agents\u201d orchestrate several actions: querying an API, enriching a database, sending emails, triggering SaaS integrations. Frameworks like <strong>LangChain, LlamaIndex, CrewAI or AutoGen<\/strong> allow the design of agents capable of acting in a complex environment.<br>These tools make automation easier, but they quickly reach their <strong>boundaries<\/strong> : security, scalability, API cost, business customization. This is where the <strong>technical reinforcement<\/strong>.<\/p>\n\n\n\n<div class=\"wp-block-cover\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"711\" class=\"wp-block-cover__image-background wp-image-1693\" alt=\"\" src=\"http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-1024x711.png\" data-object-fit=\"cover\" srcset=\"http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-1024x711.png 1024w, http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-300x208.png 300w, http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-768x533.png 768w, http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-1536x1066.png 1536w, http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent-18x12.png 18w, http:\/\/localhost\/wp-content\/uploads\/2025\/09\/isagent.png 1930w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<p class=\"has-text-align-center has-large-font-size\"><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Decision tree for assessing the opportunity and means of implementing Generative AI agents <\/p>\n\n\n\n<p> (C) Hubspot 2005<\/p>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">When is a technical profile required?<\/h2>\n\n\n\n<p>A <strong>CTO, data engineer or IT architect profile<\/strong> becomes essential when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI must integrate into the <strong>existing information system<\/strong> (ERP, CRM, legacy databases);<\/li>\n\n\n\n<li>you have to choose between a <strong>hosted model (SaaS)<\/strong> or a <strong>self-hosted model<\/strong> (server \/ serverless);<\/li>\n\n\n\n<li>we must optimize the <strong>security, GDPR and compliance<\/strong> (AI Act, GDPR);<\/li>\n\n\n\n<li>the technical stack requires <strong>custom code<\/strong> (Python, Node.js, Java, C++, Go).<\/li>\n<\/ul>\n\n\n\n<p>In other words: low-code tools are sufficient for quick tests, and of course we advise you to achieve these quick-winds yourself, but scaling up, or certain fine-grained actions, require <strong>software design<\/strong>, of the <strong>Robust APIs<\/strong>, of the <strong>cloud infrastructure management<\/strong> and of the<strong>continuous integration<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Key Technologies for AI Integration<\/h2>\n\n\n\n<p>For organizations that want to industrialize their AI adoption, several technological building blocks come into play:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data science and ML languages<\/strong> : Python, R, Julia, Scala.<\/li>\n\n\n\n<li><strong>AI \/ LLM Frameworks<\/strong> : PyTorch, TensorFlow, Hugging Face, LangChain, vLLM.<\/li>\n\n\n\n<li><strong>Orchestration &amp; serverless<\/strong> : AWS Lambda, GCP Cloud Functions, Azure Functions, Kubernetes.<\/li>\n\n\n\n<li><strong>Databases &amp; vector stores<\/strong> : PostgreSQL, MongoDB, ElasticSearch, Pinecone, Milvus, Weaviate.<\/li>\n\n\n\n<li><strong>Analytical tools<\/strong> : Pandas, Apache Spark, dbt, Power BI, Looker, Tableau.<\/li>\n\n\n\n<li><strong>APIs &amp; SaaS integrations<\/strong> : REST, GraphQL, gRPC, Zapier, Make, n8n.<\/li>\n\n\n\n<li><strong>Infrastructure and DevOps<\/strong> : Docker, Terraform, CI\/CD GitHub Actions, GitLab CI.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">IT modernization without breaking the existing system<\/h2>\n\n\n\n<p>A crucial issue is the <strong>progressive modernization<\/strong>Too many organizations fear \u201cbreaking the existing system.\u201d The right approach: <strong>cohabitation<\/strong>. Set up <strong>API connectors<\/strong>, test in <strong>sandbox<\/strong> or in <strong>serverless environments<\/strong>, then gradually migrate some legacy bricks to modern stacks. Or redo everything if it makes more sense and your operation allows it!<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>THE <strong>AI reinforcement &amp; IT modernization<\/strong> is not a luxury, it is a strategic necessity for any organization. Low-code tools and AI agents allow a quick first step. But for <strong>scale, secure and integrate<\/strong> To really use AI in a startup, an SME, an association or an institution, you need a <strong>technical expertise<\/strong> able to master the entire stack: data science, cloud, DevOps, legacy integration and regulatory compliance.<\/p>","protected":false},"excerpt":{"rendered":"<p>The Democratization of Generative AI Since 2023, Generative AI (GenAI) has moved beyond the lab to become an everyday tool. Startups, SMEs, associations, public institutions: everyone can now use platforms like ChatGPT, Claude, Gemini, Mistral, or Llama to automate repetitive tasks, generate content, analyze data, and even create [\u2026]<\/p>","protected":false},"author":1,"featured_media":1681,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1680","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-generative-ai-ia-generative"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>l\u2019IA g\u00e9n\u00e9rative pour automatiser ses workflows - SOS-CTO Renfort IA, Urgences Tech, Audit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/localhost\/en\/tech-generative-ai-ia-generative\/lia-generative-pour-automatiser-ses-workflows\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"l\u2019IA g\u00e9n\u00e9rative pour automatiser ses workflows - SOS-CTO Renfort IA, Urgences Tech, Audit\" \/>\n<meta property=\"og:description\" content=\"La d\u00e9mocratisation de l\u2019IA g\u00e9n\u00e9rative Depuis 2023, l\u2019IA g\u00e9n\u00e9rative (GenAI) est sortie du laboratoire pour devenir un outil du quotidien. 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