Instagram DM AI Support Automation
Automate Instagram DM customer support with AI-powered triage, FAQ auto-response, and intelligent escalation — no chatbot decision trees required.
課題
Brands receive hundreds of Instagram DMs daily — product questions, order inquiries, story replies, and support requests. Manual triage is slow. Generic chatbots frustrate customers with rigid decision trees. Response times lag behind customer expectations, and there is no governance over what the chatbot says.
ソリューション
JieGou connects directly to your Instagram Business account and processes every DM through AI-powered workflows. Messages are auto-classified by priority and sentiment. High-confidence FAQ matches trigger instant, knowledge-base-grounded replies. Complex conversations are escalated to the right team member with full context. Every AI response is governed by confidence thresholds, approval gates, and audit trails.
ワークフローステップ
Receive Instagram DM
レシピステップWebhook receives the DM from Instagram via the Meta API. The message is normalized into JieGou's unified event format.
Triage & Classify
レシピステップAI classifies the message by priority (urgent, high, normal, low), category (support, sales, feedback, spam), and sentiment (positive, neutral, negative).
If high-confidence FAQ match
条件Checks confidence score against threshold. High-confidence matches proceed to auto-response. Low-confidence messages route to human agents.
Auto-Respond from Knowledge Base
レシピステップGenerates a contextual response using RAG retrieval from your knowledge base. The response matches your brand voice and references actual product documentation.
Escalate to Human
承認ゲートComplex or sensitive conversations are routed to a human agent with full conversation context, customer profile, and AI-suggested response draft.
期待される成果
- First-response time drops from hours to seconds for FAQ questions
- AI responses are grounded in your actual knowledge base — not generic templates
- Every auto-response includes a confidence score — only high-confidence answers are sent without review
- Sensitive topics (refunds, complaints, legal) are auto-escalated to humans with full context
- Cross-channel context: if the customer also messaged on WhatsApp, the agent sees the full history
ラーニングループの実例
Instagram DMs start flowing through AI triage. FAQ auto-responses handle simple questions. Response time improves immediately.
Knowledge base grows from successful interactions. Confidence scoring identifies coverage gaps. Auto-response rate climbs as documentation improves.
AI handles 60-70% of DMs automatically. Escalation patterns reveal product issues. Customer satisfaction data drives knowledge base updates.
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Supportサポートチケット解決ワークフロー
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HR採用ワークフローの自動化
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請求書データの自動抽出、差異チェック、承認ルーティングを行います。
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インシデントの詳細からインシデントレポートの生成、ランブックの更新、ポストモーテムの作成を行います。