Automated GLPI ticket deadline alerts via Microsoft Teams
Keep your IT support on track by automatically monitoring GLPI ticket deadlines and sending proactive alerts to technicians. This workflow identifies expiring tasks every morning and delivers personalized notifications directly to Microsoft Teams to ensure SLA compliance. It handles the entire lifecycle from secure session management to intelligent routing based on assigned personnel.
Run this with your team's AIWhat This Recipe Does
Managing complex IT infrastructure requires constant vigilance, but manual monitoring often leads to alert fatigue and missed critical updates. This automation streamlines IT operations by systematically auditing system health and service availability on a predefined schedule. Instead of requiring staff to log into multiple dashboards, the system fetches real-time data, processes it, and delivers a consolidated, actionable summary directly to Microsoft Teams. The workflow connects to your external APIs, analyzes status data, and applies intelligent filtering to separate routine noise from urgent issues. By aggregating individual alerts into a single cohesive report, it ensures that stakeholders stay informed without being overwhelmed by constant pings. This tool transforms raw system data into clear business intelligence, allowing IT managers to proactively address infrastructure concerns before they impact end-users. It eliminates the need for manual status checks and provides a reliable audit trail of system performance. Implementing this automation reduces response times, improves cross-departmental visibility, and frees up your technical staff to focus on high-value projects rather than routine monitoring tasks.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Microsoft Teams, DaySchedule connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Microsoft Teams and DaySchedule once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- IT Managers who need a daily morning report of server health and uptime to start their day informed without checking multiple consoles.
- DevOps teams who want to aggregate microservice status alerts into a single Teams channel to reduce notification noise and focus on critical errors.
- System Administrators who require a regular, automated log of system availability and performance metrics for internal auditing and compliance purposes.
Frequently Asked Questions
Can I change how often the system health report is generated?
Yes. The schedule trigger is fully customizable, allowing you to run the status check every few minutes, daily, or only during specific business hours.
What kind of external systems can this automation monitor?
The automation uses standard web requests, meaning it can connect to any service, cloud provider, or internal tool that offers an API.
Will my Microsoft Teams channel be flooded with messages?
No. The workflow includes aggregation logic that collects multiple data points and summarizes them into a single, concise message to prevent alert fatigue.
Can I customize the criteria for what is considered a critical issue?
Yes. The internal logic can be adjusted to filter results based on your specific thresholds, ensuring you only get notified about the metrics that matter to your business.
Coming from n8n?
This recipe uses nodes like NoOp, HttpRequest, Set, MicrosoftTeams and 6 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
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