Service Management Automation

Engaging end-user experience and efficient service management with analytics and machine learning.

New SMA release extends availability to AWS

Service Management Automation is the first application suite for IT Service and Asset Management leveraging machine learning and integrated with CMDB and Discovery. Built on the ITOM platform and available through AWS marketplace, this new release includes service portal enhancements, extended mobile support, and a multi-tenant console and grid.

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Container-based delivery

Build and deploy IT solutions in any environment via our modern foundation. Through advanced data management capabilities, get flexibility coupled with control of data sovereignty.  

Cloud gear
Runs on the public cloud

Install and work with instance deployed on Amazon Web Services, and enable greater flexibility to run and store applications and data.

Codeless and version-less configuration

Accelerate onboarding and reduce Total Cost of Ownership (TCO) through automated upgrades, with near-instant access to new features and capabilities.

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Modern user experience

Give the consumer the simplest user experience, with native mobile applications, virtual agents, social collaboration, and chatops bots driven by analytics and automation.

Multi-tenant managed service provider support

Enable global and regional Managed Service Providers industry leading, multi-tenancy, high scalability, and deployment flexibility across on premise and cloud.

Enterprise applications

Offer analytics-based applications such as human resource workflow, application and service portfolio management, financial tracking and ideation and proposal to your service catalog.


See the new Service Management Automation-X release in action

Watch the webinar, see the new release, and learn how Greenlight Group, a successful Managed Service Provider, uses SMA to help meet the most stringent SLAs while consistently providing new service offerings to their customers.

release-rel-2018-3-1-hotfix-409 | Thu Mar 15 03:03:18 PDT 2018
Thu Mar 15 03:03:18 PDT 2018