Microsoft SQL and TheHive 5 automations

Ready-made scenarios where Microsoft SQL and TheHive 5 work for you: pick one — a copy appears in your account and runs on its own.

42 scenarios

Tasks from one Microsoft SQL land on the other board
Your database data refreshes itself in a sheet
Chat messages — into support tickets
Customer emails become support tickets with a spreadsheet log
Form feedback turned into tasks across your trackers
Tasks into your calendar without clashes — availability checked, everything logged
Support emails become tickets with a priority attached
Pre-release readiness checks — on autopilot
Tickets prioritized by importance, tasks created for you
Feedback sorted by sentiment — and every complaint becomes a ticket
Everything from the chat, filed: notes, files, images
Data-load failure monitoring with tasks and alerts
Resumes from a folder into a candidate card and a hiring task
Stuck tickets, followed up automatically
Topic legislation tracker with tasks
Daily data quality checks with an email report
New-issue triage: task, notification, reply to the author, and a logged row
Meeting attendance: a log, the late list and a summary in your chat
Failed-login detection with tickets and alerts
Release notes from closed tasks — into oneC and Telegram on their own
Client onboarding from a questionnaire: project, tasks, channel, email, CRM
Onboarding task quality checks, automatic and scored
Data-quality watch that alerts only on real issues
Incident response — ticket, alert, and report in seconds
Lead qualification via an SMS conversation
Support metrics from two systems — in one weekly report
Release notes from closed tasks — published everywhere at once
Content ideas from your audience's real pain points
Reorder recommendations from your stock table — automatically
Change request routing: tickets, audit trail and notifications
Route change requests by the rules — no manual triage
A morning traffic summary for your site — in plain words
Tell customers their bug is fixed — the moment the issue closes
Automatic scenario check with an error report
Voice of the customer from every channel: collected, clustered, acted on
Customer feedback sorted into themes, tasks and a weekly report
Support tickets turned into a prioritized engineering backlog
A full new-client welcome after the form
A knowledge base from your emails — automatically
Tester feedback triage: tickets, knowledge base and a reply to the author
Action-emails — straight onto your to-do list
Product health monitoring with AI root-cause analysis