Scriptera
Compass and Mandrill automations — Development & IT
Ready-made scenarios where Compass and Mandrill work for you (development & it): pick one — a copy appears in your account and runs on its own.
33 scenarios
- Scenario failure alerts — to your messenger, inbox and a log
- Word of a project's major release — to chat and email
- Failure alerts across every channel
- High-priority tickets alert every channel at once
- Failure alerts: an email and a message the moment something breaks
- AI breakdown of any failure — straight to your inbox and messenger
- Instant failure alerts: urgent ping to chat, full report by email
- Urgent tasks that don't stall
- Automated malicious-file triage with threat-intel lookup
- Failure alerts — instantly, in every channel
- Suspicious-address checks with alerts to your team
- Bug reports turned into proper tickets
- Failure alerts — logged and without spam
- Data-load failure monitoring with tasks and alerts
- Task status alerts — pushed to every channel at once
- New-issue triage: task, notification, reply to the author, and a logged row
- Automatic FAQ quality checks
- Critical bugs from testing escalated straight to tickets and engineering chat
- Parse email-protection reports with failure alerts
- Release notes from closed tasks — into oneC and compass on their own
- Daily cloud spend control, with alerts on what's critical
- Release notes from closed tasks — published everywhere at once
- Route change requests by the rules — no manual triage
- Change request routing: tickets, audit trail and notifications
- A daily vulnerability digest — only for the tech you actually run
- A daily cyber-threat digest — to chat and inbox
- A daily backup of your scenarios — automatically
- Orphaned cloud resources and their cost — a weekly report
- A quality audit of all your scenarios, with a report
- AI budget control: warnings before you overspend, plus savings advice
- Backlog hygiene and an AI digest — every day, automatically
- GitHub bounty tracker with instant alerts
- Product health monitoring with AI root-cause analysis
