The Future of AI in RMM: IT Automation trends for 2025

2024 was a phenomenal year for AI, and we got to see how exciting it’s going to be this year in CES 2025. We’ve got magic mirrors, AI-powered personal supercomputers, a text-to-video AI model, and robot dogs! Businesses and individuals across the globe are exploring AI, experimenting with it, and using it in their daily lives. The MSP industry is no exception – modern RMM platforms like SuperOps have been at the helm of applying AI in RMM to automate device maintenance and monitoring, and making life much easier for MSPs. 

Automation has always been a key focus area for MSPs, and it will continue to see a rising trend in 2025 and beyond. In this blog, we’ll dive into areas where AI is set to improve automation in RMM by 2025, and why forward-thinking MSPs should embrace these advancements. 

Hyperautomation

Hyperautomation refers to the use of technologies like AI, machine learning (ML), and robotic process automation (RPA) to automate processes and workflows. AI will automate incident management from start to finish by recommending solutions, suggesting the right scripts to run, and bringing up the most relevant runbook or IT documentation that will facilitate quick resolutions. Routine tasks such as patch management and device monitoring will also see a seismic shift, with everything being managed and automated through policies. Patching, software management, and device monitoring will also be automated further at scale, with policies.

AI-driven Maintenance 

Device maintenance is the bread and butter of RMMs, and AI is expected to automate maintenance tasks further. AI will help MSPs allocate resources better, and ensure that maintenance is performed only when necessary, thereby saving time and money. Intelligent alerts will ensure that high-risk issues are automatically identified and escalated, while removing unnecessary noise and alert bombardment. SuperOps’ industry-first intelligent alerts help you avoid the alerts that eat away at your time and proactively fix issues, even before your client knows there’s a problem. 

AI will play a key role in remediation as well, with AI-generated scripts coming into the picture. If a ready-made script isn’t available, a technician can quickly ask SuperOps’ AI agent, Monica, to generate the script based on the inputs provided by them in simple language. 

IoT Device Management

An IoT device is a smart device that can connect to the internet and uses sensors to gather data from its environment. IoT devices are expected to grow exponentially, breaching the 30 billion mark by 2025. With smart devices becoming relevant in every industry, managing these IoT connected devices is going to be all the more important. SuperOps’ network monitoring capabilities enable you to seamlessly monitor and manage any SNMP-enabled IoT device that’s connected to your network. 

Predictive Analytics

Predictive analytics uses historical data, statistical algorithms, and machine learning to identify patterns and predict future outcomes. It aims to answer this critical question: “What might happen next?”. Predictive analytics has been relevant for a while and is expected to become a critical focus area for IT. AI will identify areas to improve overall service delivery by generating detailed reports and identifying trends around technician efficiency, mean time to repair (MTTR), and compliance. MSPs will be able to pinpoint areas of improvement across their operations, and make data-backed decisions. 

The future of AI in RMM is predictive and preventative. Future-ready RMM platforms such as SuperOps are embracing AI with a dedicated AI roadmap for 2025. Sign up for SuperOps today and experience our automation-focused, unified PSA-RMM platform first hand.