Scriptera
Microsoft SQL and Salebot automations — Customer Support
Ready-made scenarios where Microsoft SQL and Salebot work for you (customer support): pick one — a copy appears in your account and runs on its own.
35 scenarios
- New requests in gitlab — Orders in Salebot
- New tickets in Salesforce — Orders in Salebot
- Sorting customer feedback by category with alerts
- 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
- All customer inquiries in one place — from email and web forms
- Tickets prioritized by importance, tasks created for you
- Round-the-clock answers to hotel guests, in their own language
- Call analysis: an unhappy client pings the manager immediately
- A wall of love: positive reactions logged and shared with the team
- Instant call breakdown: objections, risks and the next step
- Support inbox triage: urgent to the team, routine answered automatically
- Data-privacy complaint handling: register, reply, notify
- Collect client reviews and summarize them to chat automatically
- A weekly breakdown of your team's calls — details in a sheet, summary in chat
- Form feedback sorts itself: tasks, table, alerts
- Support triage by urgency, done automatically
- An FAQ base that grows itself from your support emails
- AI dish recommendations for every order in the messenger
- In-stock replies to DMs — on their own
- Sales call breakdown: transcript, lead status, task
- All support tickets in one live spreadsheet
- 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
- SLA monitoring that warns before a ticket breaches
- Support auto-replies from a knowledge base, with hard cases handed to a human
- A full new-client welcome after the form
- Support tickets turned into a prioritized engineering backlog
- Social messages get sorted, and you approve each reply with a tap
- Support ticket triage — simple ones close, hard ones go to an engineer
- Tester feedback triage: tickets, knowledge base and a reply to the author
- Feedback triage and customer replies — automatically
