As digitalization continues to drive increased complexity in IT, ensuring smooth operation and meeting SLAs for your business processes becomes crucial. Automic Automation Intelligence (AAI) offers a comprehensive cross-system workload management platform that bridges the gap between your IT and business departments, elevating your company's level of automation.
In this blog post, you will discover:
By adopting Automic Automation Intelligence, you gain access to a robust and easily configurable workload management platform that:
Dealing with a perpetual shortage of IT resources is a common challenge for many departments. In a corporate environment, the sheer number of job streams running can be overwhelming, especially with each application update and new software release requiring configurations, development work, and troubleshooting. When specialists leave the company, and hybrid IT landscapes lack automation and transparency in monitoring, the situation becomes even more problematic.
Automic Automation Intelligence provides a solution by centralizing and automating workload management. Intuitive user interfaces cater to system administrators and automation developers, reducing the manual effort involved in managing workloads and ensuring uninterrupted business continuity. To further support companies, the Automic Automation Intelligence Academy offers standardized training and a comprehensive support program, ensuring seamless knowledge transfer for new employees.
Elevate the level of automation in your IT and prepare your organization for the future. To ensure a successful launch of your automated workload management, we recommend following these steps:
To maximize the impact of workload automation on your business, involve various stakeholders in the development of your strategy.
For a smooth project flow, assemble a team consisting of a project manager, AAI administrator, automation experts, and business and application process owners, among others.
Like any IT project, it is crucial to distinguish between must-have requirements and nice-to-have features.
Early discussions regarding process standards positively influence the project's trajectory.
Identify suitable testers and initially focus on two or three selected business processes to gain insights for a seamless rollout.
During the rollout phase, implement jobstream mapping using real data sets, create dashboards, and establish user management and rights based on the defined concept. After a parallel operation, where system errors and user uncertainties are addressed and managed, transition to the final phase of live operation.
While you may explore all potential use cases for Automic Automation Intelligence during the project planning phase, your true needs will only become apparent once the system is up and running. Ensure continuous development of your AI system.
Are you interested in future-proofing your workload management? Access the detailed implementation guide to learn everything you need to know about implementing Automic Automation Intelligence. You can download the implementation guide in the "Downloadables" section at the bottom of the page.
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