AI Automation
定義
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.
相關術語
AI 配方
了解什麼是 AI 配方以及它們如何在 JieGou 中運作。配方是可重複使用的單一操作 AI 建構模組，具有結構化的輸入和輸出。
AI 工作流程
了解什麼是 AI 工作流程以及它們如何自動化多步驟流程。工作流程將配方與分支、迴圈、審核關卡和平行執行串連在一起。
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.