Grist and Slack automations — Customer Support

Ready-made scenarios where Grist and Slack work for you (customer support): pick one — a copy appears in your account and runs on its own.

45 scenarios

Chat messages — into support tickets
Team alerts for new support tickets
Sorting customer feedback by category with alerts
Take requests by voice and text in a messenger
Early churn-risk detection from Zendesk tickets
Knowledge-base freshness monitoring — overdue articles come to you
Support email triage: category, priority, a ticket and alerts for the critical ones
Email and form requests in one stream, prioritised and auto-answered
Support & lead-capture chat assistant
All customer inquiries in one place — from email and web forms
Tickets prioritized by importance, tasks created for you
Call analysis: an unhappy client pings the manager immediately
Round-the-clock answers to hotel guests, in their own language
A messenger assistant for text and voice — with memory
Chat order-taking with you approving each payment
A wall of love: positive reactions logged and shared with the team
Instant call breakdown: objections, risks and the next step
Requests from messenger and email in one stream — with priority
Data-privacy complaint handling: register, reply, notify
Support inbox triage: urgent to the team, routine answered automatically
Collect client reviews and summarize them to chat automatically
Support triage by urgency, done automatically
Form feedback sorts itself: tasks, table, alerts
A weekly breakdown of your team's calls — details in a sheet, summary in chat
AI dish recommendations for every order in the messenger
An FAQ base that grows itself from your support emails
Sales call breakdown: transcript, lead status, task
Customer feedback from every channel, turned into themes and tasks
Messenger support with built-in lead management
All support tickets in one live spreadsheet
Support metrics from two systems — in one weekly report
Sales call reviews with coaching for your reps
Support auto-replies from a knowledge base, with hard cases handed to a human
SLA monitoring that warns before a ticket breaches
Tell customers their bug is fixed — the moment the issue closes
Voice of the customer from every channel: collected, clustered, acted on
A full new-client welcome after the form
Social messages get sorted, and you approve each reply with a tap
Tester feedback triage: tickets, knowledge base and a reply to the author
Support email replies from your own knowledge base
Feedback triage and customer replies — automatically
A bot collects the lead, then hands the chat to a human
Handing the conversation from bot to human — when the client asks
App-store review replies — with review and logging
A ready-made bot in Slack: chat, menu, and payment