Application Management Services Automation

Accelerating application management services automation—Time to break out the bots?

A compelling option continues to emerge in IT AMS, fueled by advances in robotic process automation (RPA), cognitive computing, machine learning, and other forms of artificial intelligence (AI). AMS automation is rapidly expanding beyond the realm of existing IT service management (ITSM) tools to include a new generation of robotics that minimize the amount of human intervention in the workflows, analysis, and solutions associated with AMS, and help drive business value in new areas and improve application performance.

This Deloitte point of view reviews the history of AMS automation, introduces six imperatives driving development of new AMS automation tools, and offers key principles of AMS automation that can help companies in their pursuit of better, faster, and cheaper AMS.
 

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Three dimensions of application management services automation

Automation of IT AMS has the potential to produce many different outcomes, depending on the automation strategy an organization chooses. Several factors drive many automation initiatives: service improvement, speed, cost optimization, risk reduction, innovation promotion, and business value generation.

Before launching an automation initiative, it is important for organizations to determine their digital maturity and develop a clear rationale for why they want to automate; these factors can be used as guideposts. Once objectives are clearly defined, three dimensions of the automation picture should be considered: what application management services can be automated, how each process should be automated, and when it should be deployed.

This Deloitte point of view explores those three dimensions to help IT executives and business stakeholders develop their automation road map.
 

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