Scriptera80 scenarios


2Form feedback sorted into sheets — positive and negative

3Product feedback — into a base, the important ones into tasks

1Website enquiry intake — a ticket log and an instant reply

3Chat messages — into support tickets
A tagged Q&A database built through a form

3Customer emails become support tickets with a spreadsheet log

3Sorting customer feedback by category with alerts

2Business review replies with a ready draft

2Bug reports from support — collected into one table

2Take requests by voice and text in a messenger

3Early churn-risk detection from Zendesk tickets

2Auto-replies to customer emails with case history

4Support from chat and email in one place

3Form feedback turned into tasks across your trackers

3Support email triage: category, priority, a ticket and alerts for the critical ones

3A draft support reply — from your own knowledge base

3Knowledge-base freshness monitoring — overdue articles come to you

3Call transcripts — straight into your spreadsheet and base
1A site chat that gathers leads — AI answers and contacts into a sheet

1Routing incoming requests to the right department

3Support emails become tickets with a priority attached

1Instant property answers in the messenger — with hot buyers passed to an agent

3A мессенджер support bot from your documents

3Collecting positive customer reviews

3Email and form requests in one stream, prioritised and auto-answered

5Tickets prioritized by importance, tasks created for you
Collect customer ratings with a star-rating form

4All customer inquiries in one place — from email and web forms

3Collect testimonials, analyse them and thank the customer

3Call analysis: an unhappy client pings the manager immediately

2Round-the-clock answers to hotel guests, in their own language

1Calls, bookings, and leads for a travel business in one scenario

2Inbound call triage: substance, urgency and a row in your sheet

2A messenger assistant for text and voice — with memory

4Stuck tickets, followed up automatically

2A wall of love: positive reactions logged and shared with the team

2A personal reply to every webinar attendee, automatically

2Instant call breakdown: objections, risks and the next step

3Requests from messenger and email in one stream — with priority

3Support inbox triage: urgent to the team, routine answered automatically

3Data-privacy complaint handling: register, reply, notify
1Product insights from customer calls — into your base
1Take orders in chat, logged straight to a table

4Collect client reviews and summarize them to chat automatically

1A call recording becomes a CRM note and a follow-up task

2A weekly breakdown of your team's calls — details in a sheet, summary in chat

1Sales call analysis that updates the CRM for you

5Form feedback sorts itself: tasks, table, alerts

4An FAQ base that grows itself from your support emails

2AI dish recommendations for every order in the messenger

4Support triage by urgency, done automatically

3In-stock replies to DMs — on their own

1Automatic support-ticket quality scoring

5Sales call breakdown: transcript, lead status, task

3Tenant complaints: triage, technician dispatch, acknowledgement and SLA tracking

3All support tickets in one live spreadsheet

2A knowledge base from support tickets — automatically
1Marketing insights from sales calls — in your knowledge base

2Draft replies to website inquiries — ready on their own

5Support metrics from two systems — in one weekly report

2Sales call reviews with coaching for your reps

5Support auto-replies from a knowledge base, with hard cases handed to a human

2Taking food orders in your messenger — into a table and calendar

5Tell customers their bug is fixed — the moment the issue closes

3SLA monitoring that warns before a ticket breaches

5Customer feedback sorted into themes, tasks and a weekly report

3A satisfaction survey after every deal, with replies sorted

5A full new-client welcome after the form

3Social messages get sorted, and you approve each reply with a tap

3Messenger support that also books the meeting, right in the chat

3A support bot that books clients and opens tickets

1An AI assistant for your site's support chat

5Tester feedback triage: tickets, knowledge base and a reply to the author

2A waiter in your messenger: menu, orders, answers
1Notes from client calls — in your knowledge base

4Feedback triage and customer replies — automatically

5Support email replies from your own knowledge base

2A ready-made bot in Telegram: chat, menu, and payment

4A clinic assistant in your messenger: answers, bookings, hand-off to a human

2A voice assistant that takes calls and books clients