AI Automation
Definición
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.
Términos relacionados
Recetas de IA
Conozca qué son las recetas de IA y cómo funcionan en JieGou. Las recetas son bloques de construcción de IA reutilizables de una sola operación con entradas y salidas estructuradas.
Flujos de trabajo de IA
Conozca qué son los flujos de trabajo de IA y cómo automatizan procesos de múltiples pasos. Los flujos de trabajo encadenan recetas con ramificaciones, bucles, puertas de aprobación y ejecución paralela.
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.
Más información
Véalo en acción
Comience a construir automatización con IA usando recetas y flujos de trabajo hoy mismo.