AI Automation
Définition
AI automation is the use of large language models and AI agents to execute business tasks and multi-step workflows that traditionally required human judgment — analyzing data, generating content, making decisions, and taking actions. Unlike traditional rule-based automation (if-then logic), AI automation handles ambiguity, understands context, and produces human-quality outputs.
AI Automation vs. Traditional Automation
Traditional automation (Zapier, Make, n8n) moves data between apps with if-then rules. AI automation uses LLMs to understand, reason, and generate. Traditional automation can copy a field from a CRM to a spreadsheet. AI automation can read a customer email, determine intent, draft a personalized response, and route it for approval — all in one workflow.
Department-First AI Automation
JieGou structures AI automation by department rather than by individual task. Each department gets curated packs with templates, workflows, and governance rules designed for their specific needs. This means AI automation isn't just one person's side project — it's an organizational capability with visibility, governance, and ROI tracking.
Termes associés
Recettes IA
Découvrez ce que sont les recettes IA et comment elles fonctionnent dans JieGou. Les recettes sont des blocs de construction IA réutilisables à opération unique, avec des entrées et sorties structurées.
Workflows IA
Découvrez ce que sont les workflows IA et comment ils automatisent les processus multi-étapes. Les workflows enchaînent des recettes avec des branchements, des boucles, des portes d'approbation et l'exécution parallèle.
Department Packs
Department packs are curated bundles of AI recipes, workflows, and governance rules designed for specific business functions like Sales, Marketing, HR, and IT.
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Constatez par vous-même
Commencez dès maintenant à créer des automatisations IA avec des recettes et des workflows.