Partner Content: How automating human-intensive operations can help organisations work smarter

Manual processes are a significant drain on resources and time. Ticketing, troubleshooting, and other routine tasks are important and must be dealt with promptly, however, human operators can become fatigued and run the risk of making errors. Repetitive tasks and false positive alerts regularly pull focus from broader objectives and may be holding organisations back.

Implementing AI for operations ensures automatic differentiation between urgent problems and false alarms, greatly reducing noise for teams, and permitting a proactive rather than reactive approach. Resolution time is minimised, and through ongoing learning, problem-solving is improved.

Security confidence

Around-the-clock monitoring and support means MSPs can have confidence in being able to mitigate attacks, outages, and interruptions - all increasing challenges for today's organisations. AIOps can catch critical issues, alert the right people, and configure thresholds based on past metric measurements. Intelligent reporting of this kind removes the onus from employees to recognise, react to, and remediate alerts. It prevents overwhelming alert storms and ensures the information being conveyed is both meaningful and actionable.

Legacy tools, often requiring individual devices to be monitored, do not provide a clear view into services. In contrast, AIOps reports service risks or operating problems in advance, compiling data and continually improving responses. Root causes can be identified and resolved faster with little to no human effort, and the relevant teams will only be notified of pertinent information.

Through enabling this self-healing IT infrastructure, MSPs can trust that anomalies or critical incidents are being detected across all environments. This is especially important for cleaning up tool and infrastructure sprawl. AIOps automatically reported on network performance and issues can be resolved before they impact customers.

Streamlining

Events and alerts alone cannot give rich insights. AIOps, capable of aggregating, correlating, and analysing information, enables continuous improvements at speed. Performance data, relationships, logs, and more may all be falling through the cracks if intelligent reporting is missing. The data analysis generated by AIOps identifying patterns means teams can easily determine what is performant and what needs enhancing.

Onboarding, a traditionally slow and time-consuming experience prone to human error, is hugely improved using AIOps. Processes are more consistent, efficient, and faster when AI can be applied to cloning dashboards, creating group directory structures, establishing reports, and setting up access roles.

Automating human-intensive operations aids employee and customer satisfaction. Security is significantly bolstered, and teams can focus on capitalising on innovation rather than dealing with demanding, mundane management tasks. This is especially important as customer bases expand alongside customer needs, and platforms become more dynamic and diverse. Modern, intelligent reporting can identify and analyse issues in real-time. Users won't become fatigued when critical, routine processes are automated, and productivity is protected.

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This post is funded by LogicMonitor.