The extensible and scalable service desk solution built on machine learning, analytics and automation.
Automatically categorize tickets, route service requests, find solutions, and identify patterns in incidents and other records to fulfill requests and solve issues quickly.
An effective self-service user experience with native mobile applications, virtual agents (bots), live chat and smart search, driven by machine learning, analytics, and automation.
Access more than 200 out of the box reports or easily create your own for role-based and personalized dashboards. Available for schedule based distribution with various export formats.
Full featured change management from change request to validation, including calendar, visual impact analysis, risk assessment, collision detection, virtual CAB and automated task execution.
Easily customize and configure reusable processes, workflows, and task plans with drag and drop UI based process designer. Out-of-the-box ITIL compliant processes.
Automate release build and deployment through GitHub integration, provides collaboration, simplifies processes, and makes them repeatable and reliable, from development all the way to production.
We really saw the benefits of having smart tickets save our agents 60 percent of the time to capture interactions.
we implemented a DevOps practice because our customers asked to bring new changes, new features every two weeks. And our release cycle before was about 2.5 months.
With Service Manager smart analytics we can do it. The main topic for us is the automatic assignment of the tickets We do not lose time with dispatching a ticket with this we can save time.
Service Manager was a solid base, but a flexible base, to build our Fastweb system. We find which are the services of a customer in one click, and all these actions in one user interface – only one.