💬 AI workflows for Customer Support
14 practical, sourced workflows for Customer Support teams using ChatGPT, Claude, Gemini, Microsoft 365 Copilot, n8n.
★ Popular
Draft a reply to an angry customer email
⏱ 5-10 min per ticket (estimate, not measured)
Turn product docs into a support knowledge-base article⏱ 1 hr per article (estimate, not measured)
Summarize a customer email thread in Outlook⏱ 5-10 min per thread (estimate, not measured)
Draft a support reply in Gmail⏱ 5 min per email (estimate, not measured)
All workflows
Email support agent with Gemini and GPT fallback⏱ 1-3 hrs per day (estimate, not measured)
Multi-channel support answers with RAG⏱ Varies with volume (estimate, not measured)
WhatsApp support bot with Google Docs knowledge base⏱ Varies with volume (estimate, not measured)
Triage voice and text support messages⏱ 30-60 min per day (estimate, not measured)
Rewrite a support reply for empathy and clarity⏱ 2-5 min per ticket (estimate, not measured)
Build macros from past tickets⏱ 3-4 hrs one-off (estimate, not measured)
Draft a reply to an angry customer email⏱ 5-10 min per ticket (estimate, not measured)
Summarize a long ticket history for handoff⏱ 5 min per handoff (estimate, not measured)
Turn product docs into a support knowledge-base article⏱ 1 hr per article (estimate, not measured)
Classify and tag a batch of tickets⏱ 1-2 hrs per week (estimate, not measured)
Summarize a customer email thread in Outlook⏱ 5-10 min per thread (estimate, not measured)
Draft a support follow-up email in Outlook⏱ 5 min per email (estimate, not measured)
Draft a support reply in Gmail⏱ 5 min per email (estimate, not measured)
Analyze support ticket trends in Google Sheets⏱ 1 hr per month (estimate, not measured)
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