Scriptera44 scenarios


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

3Sorting customer feedback by category with alerts

3Early churn-risk detection from Zendesk tickets

4Support from chat and email in one place

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

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

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

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

1Routing incoming requests to the right department

5Tickets prioritized by importance, tasks created for you

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

3Collect testimonials, analyse them and thank the customer

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

4Stuck tickets, followed up automatically

3Call analysis: an unhappy client pings the manager immediately

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

2A personal reply to every webinar attendee, automatically

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

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

3Data-privacy complaint handling: register, reply, notify

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

4Collect client reviews and summarize them to chat automatically

4Support triage by urgency, done automatically

2AI dish recommendations for every order in the messenger

5Form feedback sorts itself: tasks, table, alerts

4An FAQ base that grows itself from your support emails

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

1Sales call analysis that updates the CRM for you

5Sales call breakdown: transcript, lead status, task

3All support tickets in one live spreadsheet

2A knowledge base from support tickets — automatically

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

3SLA monitoring that warns before a ticket breaches

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

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

5A full new-client welcome after the form

2Support tickets turned into a prioritized engineering backlog

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

2Support ticket triage — simple ones close, hard ones go to an engineer

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

4Feedback triage and customer replies — automatically

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