Scriptera
Google Chat and OkoCrm automations — Development & IT
Ready-made scenarios where Google Chat and OkoCrm work for you (development & it): pick one — a copy appears in your account and runs on its own.
34 scenarios
- A daily task reminder to your messenger
- Scenario failure alerts — to your messenger, inbox and a log
- Failure alerts: a message in chat and a row in the log
- Failure alerts across every channel
- High-priority tickets alert every channel at once
- Bug reports from a form — into repository issues with an alert
- Failure alerts — instantly, in every channel
- Pre-release readiness checks — on autopilot
- Shield your AI assistant from malicious incoming messages
- 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
- Turn user questions into help articles automatically
- Notifications from several projects in okoCrm
- Release notes from closed tasks — into oneC and Google Chat on their own
- Twice-daily double backup of your scenarios
- Jira epic health tracking with risk alerts
- Failed-login detection with tickets and alerts
- Daily cloud spend control, with alerts on what's critical
- Weekly documentation and backup of your scenarios
- A photo archive that sorts itself into folders and tags
- A first review and labels — the moment changes go up
- Incident response — ticket, alert, and report in seconds
- Turn security-scanner findings into tasks — no duplicates
- Dependency update risk, right on the ticket
- 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 cyber-threat digest — to chat and inbox
- 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
- Product health monitoring with AI root-cause analysis
