CUSTOMER SUPPORT
CSAT Detractor Make-Good Drafter
When a survey response scores 1-3 (a detractor), this drafts a personalized apology and make-good email.
How it runs
The automated pipeline, trigger to output.
- TriggerCSAT survey response receivedHTTP webhook
- LogicKeep only scores 1-3 (detractors)
- ActionFetch recent Intercom conversationsIntercom
- ActionDraft personalized make-good emailOpenAI
- ActionPlace tentative recovery call holdGoogle Calendar
- OutputCreate review-ready Gmail draftGmail
What it does
Turns a low CSAT score into a ready-to-send recovery package. It reads the detractor's verbatim comment and recent ticket history, drafts a specific make-good email (apology + concrete remedy), and pre-schedules a follow-up call so nothing slips.
When to use it
Use it when your support survey fires a low score and you want a same-day, human-reviewed response instead of a generic auto-reply. Best for teams that treat every detractor as a save-the-account moment.
How it works
- 1A new CSAT survey response arrives via webhook from your survey tool.
- 2A filter checks the score; anything 4-5 stops here, only 1-3 continues.
- 3The flow pulls the customer's recent Intercom conversations for context.
- 4An OpenAI step drafts a personalized apology referencing the actual complaint and proposes a make-good (credit, expedited fix, or escalation).
- 5A 15-minute recovery call is tentatively placed on Google Calendar 1-2 business days out.
- 6The draft email plus the calendar hold land in Gmail as a draft for the agent to review, edit, and send.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect IntercomConversations, contacts, articles.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect Google CalendarEvents, attendees, availability.
- 5Connect GmailRead, draft, send, label.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Monthly, an agent investigates the top recurring Zendesk ticket themes, drafts and publishes the highest-confidence help articles to ReadMe.
Mine a Discord Support Channel for Recurring Questions to Document
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Daily VIP Sentiment Digest for Account Owners
Each morning, pulls the prior day's Intercom conversations for VIP accounts, summarizes the overall mood per account with an LLM.
VIP Reply Sentiment Watcher with Account-Owner Escalation
Scores every inbound Intercom reply from a VIP customer for frustration and, when it crosses the anger threshold, pings the account owner in Slack with the conversation link…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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