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Instagram DM Automation with AI

Automate Instagram DM triage, FAQ responses, and escalation with AI-powered workflows that understand customer intent.

問題

Instagram has become a primary customer communication channel — brands receive hundreds of DMs daily with product questions, support requests, story replies, and purchase inquiries. Manually triaging and responding to each message is unsustainable. Response times slip, leads go cold, and support teams burn out.

解決方案

The Instagram DM Automation workflow connects your Instagram Business account to JieGou and lets AI handle the entire inbound pipeline. When a DM arrives, AI reads the message, classifies intent using your knowledge base, drafts a contextual response with confidence scoring, and either auto-sends high-confidence replies or escalates to a human agent. Story mentions and comment-triggered DMs are handled in the same workflow.

工作流程步驟

Receive Instagram DM

配方步驟

Webhook receives the inbound DM via the Instagram Graph API. Extracts message text, sender info, and conversation context.

Classify Intent

配方步驟

AI classifies the message intent — product inquiry, support request, order status, complaint, or general question — using your FAQ knowledge base for context.

Check Confidence

條件

If confidence score is above threshold (e.g., 85%), auto-respond. Below threshold, route to human agent with AI-drafted suggested response.

Draft Response

配方步驟

AI generates a personalized response using knowledge base context, brand voice settings, and conversation history. Supports rich text and link formatting.

Human Review

審核關卡

Low-confidence responses pause for human review. Agent can approve, edit, or reject the AI draft before sending.

Send Reply

配方步驟

Sends the approved response via Instagram DM API. Logs the interaction for analytics and knowledge base improvement.

觀看 Support 工作流程實際運作

預期成果

  • Response time drops from hours to seconds for high-confidence queries
  • Support team focuses on complex cases while AI handles routine questions
  • Every response is consistent with brand voice and knowledge base accuracy
  • Conversation history and intent classification improve over time
  • Story mentions and comment-to-DM workflows handled in the same pipeline

學習迴圈實戰

第 1 週

AI handles basic FAQ responses with ~70% confidence. Human agents review and correct most responses, building training signal.

第 4 週

Knowledge base grows from agent corrections. Auto-response rate reaches 50%+ as confidence scoring calibrates to your support patterns.

第 8 週

AI handles 75%+ of inbound DMs autonomously. Response quality matches trained agents. New FAQ entries are auto-generated from successful interactions.

試用此工作流程

安裝 Support 套件即可獲得此工作流程及更多內容,隨時可執行。