
Within the scope of the Service Level Agreement, it is clearly defined which service will be provided and under what conditions. For example; critical metrics such as response time of support requests, system availability rate are clearly defined. This eliminates the risk of conflicts.

The targets set within the SLA include performance criteria such as incident resolution time, initial response time, service availability and system outage tolerances. These metrics provide a concrete measure of the extent to which IT services meet expectations.
SLA targets shape not only operational quality but also strategic planning. Resource management, shift planning and prioritization decisions are made according to these targets.
Objectives structured within the framework of ITIL both discipline internal processes and contribute directly to customer satisfaction.

The SLA process is automatically initiated and tracked from the moment the event is opened. Thanks to automatic counters and alerts, the need for manual control is reduced. Thus, the process becomes both faster and more reliable.

When certain thresholds are exceeded, the system sends automatic notifications to administrators or a higher support layer. This structure prevents critical events from being overlooked. These rules, set within the SLA, play a vital role for service continuity.

LA performance can be viewed instantly with dashboards and colorful interfaces. It can be clearly monitored which service has been pending for how long or which limits have been exceeded. In this way, instant intervention capability increases.

Once the SLA is completed, the quality of the service is measured by obtaining feedback from users. Satisfaction data allows the service provider to see the weak points. In SLA management, this data is used for improvement actions. Creates data in XLA management.

Process effectiveness is measured by creating detailed SLA reports based on historical data. Service level performance is periodically analyzed and presented to senior management. In this way, data-based decision making is supported.