Grist automations — Customer Support

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

95 scenarios

Form feedback sorted into sheets — positive and negative
A chat assistant that answers from your Q&A base
Product feedback — into a base, the important ones into tasks
Website enquiry intake — a ticket log and an instant reply
Team alerts for new support tickets
Chat messages — into support tickets
A tagged Q&A database built through a form
Customer emails become support tickets with a spreadsheet log
Bug reports from support — collected into one table
Replies to customer emails — instant and none missed
Business review replies with a ready draft
Sorting customer feedback by category with alerts
Auto-replies to customer emails with case history
Early churn-risk detection from Zendesk tickets
Take requests by voice and text in a messenger
Form feedback turned into tasks across your trackers
Support from chat and email in one place
Support email triage: category, priority, a ticket and alerts for the critical ones
A draft support reply — from your own knowledge base
Knowledge-base freshness monitoring — overdue articles come to you
Support emails become tickets with a priority attached
A мессенджер support bot from your documents
A site chat that gathers leads — AI answers and contacts into a sheet
Help-center articles from support chats — automatically
Routing incoming requests to the right department
Support & lead-capture chat assistant
Email and form requests in one stream, prioritised and auto-answered
Call transcripts — straight into your spreadsheet and base
Collecting positive customer reviews
Instant property answers in the messenger — with hot buyers passed to an agent
All customer inquiries in one place — from email and web forms
Collect testimonials, analyse them and thank the customer
Tickets prioritized by importance, tasks created for you
Collect customer ratings with a star-rating form
Inbound call triage: substance, urgency and a row in your sheet
Chat order-taking with you approving each payment
Round-the-clock answers to hotel guests, in their own language
Call analysis: an unhappy client pings the manager immediately
Stuck tickets, followed up automatically
A messenger assistant for text and voice — with memory
A wall of love: positive reactions logged and shared with the team
A personal reply to every webinar attendee, automatically
Support inbox triage: urgent to the team, routine answered automatically
Data-privacy complaint handling: register, reply, notify
A hotel receptionist in your messenger
Requests from messenger and email in one stream — with priority
A bot that hears you out and answers all at once
Instant call breakdown: objections, risks and the next step
Product insights from customer calls — into your base
Take orders in chat, logged straight to a table
Collect client reviews and summarize them to chat automatically
Form feedback sorts itself: tasks, table, alerts
AI dish recommendations for every order in the messenger
Sales call analysis that updates the CRM for you
Support triage by urgency, done automatically
A call recording becomes a CRM note and a follow-up task
A weekly breakdown of your team's calls — details in a sheet, summary in chat
An FAQ base that grows itself from your support emails
In-stock replies to DMs — on their own
Sales call breakdown: transcript, lead status, task
Automatic support-ticket quality scoring
All support tickets in one live spreadsheet
Messenger support with built-in lead management
Customer feedback from every channel, turned into themes and tasks
A knowledge base from support tickets — automatically
Marketing insights from sales calls — in your knowledge base
Draft replies to website inquiries — ready on their own
Support metrics from two systems — in one weekly report
Sales call reviews with coaching for your reps
Tell customers their bug is fixed — the moment the issue closes
Support auto-replies from a knowledge base, with hard cases handed to a human
Taking food orders in your messenger — into a table and calendar
SLA monitoring that warns before a ticket breaches
Customer feedback sorted into themes, tasks and a weekly report
Voice of the customer from every channel: collected, clustered, acted on
A satisfaction survey after every deal, with replies sorted
A full new-client welcome after the form
Social messages get sorted, and you approve each reply with a tap
AI replies to WhatsApp messages, with memory
An AI sales agent in your messenger, on your catalog
Messenger support that also books the meeting, right in the chat
A support bot that books clients and opens tickets
Tester feedback triage: tickets, knowledge base and a reply to the author
A smart chat bot: understands text, voice and photos
A waiter in your messenger: menu, orders, answers
Notes from client calls — in your knowledge base
Feedback triage and customer replies — automatically
Support email replies from your own knowledge base
A bot collects the lead, then hands the chat to a human
App store review replies, written and posted automatically
Handing the conversation from bot to human — when the client asks
Signups, support and billing — run by one assistant
App-store review replies — with review and logging
A ready-made bot in Telegram: chat, menu, and payment
A clinic assistant in your messenger: answers, bookings, hand-off to a human