AI Automation
定义
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.
相关术语
AI 配方
了解什么是 AI 配方以及它们如何在 JieGou 中运作。配方是可重复使用的单一操作 AI 建构模组，具有结构化的输入和输出。
AI 工作流程
了解什么是 AI 工作流程以及它们如何自动化多步骤流程。工作流程将配方与分支、回圈、审核关卡和平行执行串连在一起。
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.