Scriptera36 scenarios


3Scenario failure alerts — to your messenger, inbox and a log

2Word of a project's major release — to chat and email

4High-priority tickets alert every channel at once

5Failure alerts across every channel

2Failure alerts: an email and a message the moment something breaks

3Audit evidence package — assembled for you

2AI breakdown of any failure — straight to your inbox and messenger

2Instant failure alerts: urgent ping to chat, full report by email

3Security questionnaire answers — filled automatically

3Automated malicious-file triage with threat-intel lookup

4Urgent tasks that don't stall

5Failure alerts — instantly, in every channel

3Suspicious-address checks with alerts to your team

4Data-load failure monitoring with tasks and alerts

3Bug reports turned into proper tickets

2A landing page from one form: AI builds it, the scenario publishes it

5Task status alerts — pushed to every channel at once

5New-issue triage: task, notification, reply to the author, and a logged row

3Automatic FAQ quality checks

3Critical bugs from testing escalated straight to tickets and engineering chat

2Parse email-protection reports with failure alerts

5Release notes from closed tasks — into oneC and Slack on their own

1Daily cloud spend control, with alerts on what's critical

4SSL certificate expiry reports — weekly to chat and email

5Release notes from closed tasks — published everywhere at once

5Change request routing: tickets, audit trail and notifications

5Route change requests by the rules — no manual triage

2A daily vulnerability digest — only for the tech you actually run

4A daily cyber-threat digest — to chat and inbox

3A daily backup of your scenarios — automatically

4Orphaned cloud resources and their cost — a weekly report

4A quality audit of all your scenarios, with a report

1AI budget control: warnings before you overspend, plus savings advice

4Backlog hygiene and an AI digest — every day, automatically

3GitHub bounty tracker with instant alerts

3Product health monitoring with AI root-cause analysis