Using Artificial Intelligence to Streamline Incident Management Processes
Has your IT team spent hours trying to figure out why the network went down?
Meanwhile, the support desk is swamped, customers are complaining, and the pressure just keeps mounting.
What if, instead of manually troubleshooting the cause, you could receive an accurate diagnosis, recommended actions, and guidance on how to prevent it from happening again— all in a matter of seconds?
That’s exactly what Artificial Intelligence in Made4NOC does.
The challenge: 600 incidents per day
At Made4NOC, we monitor critical networks for ISPs, companies, and institutions.
We handle about 600 events per day that require immediate attention and response.
For experienced technicians, identifying the root cause is faster.
But for those just starting out, the process can take hours, and every minute counts when customers are affected. That’s why we see AI as an opportunity to optimize our processes and make the job easier for both beginners and experienced technicians.
How AI Works at Made4NOC
With the release of Zabbix 7.0, the community gained new artificial intelligence features.
We went a step further: we adapted these features for real-time monitoring and to meet the high standards required by Made4NOC.
Whenever a trigger is activated and appears on the Made4NOC dashboard, our analysts begin handling the issue by marking the trigger as acknowledged.
The workflow is simple and powerful:
- Trigger activated → Appears on the Made4NOC dashboard.
- Immediate response → The analyst identifies the trigger and begins the diagnosis.
- Live history → Every action and update is recorded in the event.
This record isn’t just red tape. It builds a rich knowledge base, ready to speed up the resolution of future incidents.
Made4NOC Customization
We started with a template created by the Zabbix community and adapted it to our specific needs.
We developed a script that:
- It automatically collects the trigger name, problem description, and history.
- Send everything to the AI for processing.
AI is making a strong comeback:
- Probable cause of the problem
- Solution Recommendations
- Preventive measures
Speed and precision
The result appears in the incident management interface in just two clicks.
The analyst gains:
- Faster diagnoses.
- Greater accuracy in identifying the cause.
- Clear and objective briefings for clients and consultants.
This is how AI at Made4NOC turns a critical incident into an almost immediate resolution, keeping the network stable, the SLA intact, and the customer satisfied.
Conclusion
AI at Made4NOC is just the beginning.
What is currently speeding up diagnostics and improving the accuracy of responses will soon completely transform the way we monitor networks.
We combine the best of the Zabbix community with customizations tailored to each specific situation.
The result? Greater agility, higher quality, and customers served on time.
And we’re just getting started.
The next step is to expand the use of AI to predict failures before they even happen—and that’s already on our radar.
If you want to see this technology in action within your operation, don’t wait. Contact us:
