With the rise in the term AI, many conversations are taking place to see if anyone knows where AI will be going and how it can be used.
Many people are worried that the introduction of AI will make their roles redundant, or that they will no longer be able to speak to a real live person. This article will take a quick look into the role that AI does and could perform within the IT Helpdesk offerings that many firms have.
Current Capabilities of AI in IT Support
Currently AI has the ability to perform a number of fairly routine tasks to help and support calls to an internal help desk system.
Automation of Routine Tasks
One of AI’s current capabilities is that routine and repetitive tasks can be passed off to it to follow a set process to perform things like password resets or performing system backups outside of normal working hours. This can then free up the human element of the support desk for other activities.
System monitoring is a time-consuming task that is often prone to being overlooked. It’s impractical for individuals to manually monitor systems around the clock by constantly watching data or readouts, as this approach inevitably leads to missed issues. However AI could be tasked with watching for set occurrences to occur and alert a human to deal with things when they are reported. AI can be used to monitor systems for performance issues, security breaches, and other anomalies, often being able to resolve issues without the need for human intervention. AI can be tasked with these actions 24 hours a day, 7 days a week, without the need for rest or recuperation.
A study by Forrester Research found that AI-driven monitoring tools can reduce system downtime by up to 40% by quickly identifying and addressing performance issues.
Help Desk Support
I am sure we have all come across Chatbots and Virtual Assistants via telephone, email and web pages. These can handle a large volume of basic inquiries, provide information, provide users with step-by-step troubleshooting guides for common issues, and escalate more complex issues to human technicians.
Additionally AI can and is being used by some organisations to streamline the triage and ticketing process, prioritize issues based on severity, and even suggest solutions to technicians.
Limitations of AI in IT Support
There are however currently limitations to the capabilities of AI such as complex problem-solving, human interaction, and adaptability.
Complex Problem-Solving
When supporting users and systems there will always be the unique issues that occur where currently human interaction, judgement and problem solving is required. AI lacks the ability to think outside the box and apply judgment to resolve these occurrences.
With many working environments, system integration can be complex and issues involving the integration of multiple systems often require a deep understanding of the specific environments and configurations that AI cannot decipher on its own and so again human intervention would regularly be needed.
Human Interaction
When communicating with an IT Support desk a human can provide empathy, reassurance, and effective communication, which is particularly important in high-stress situations. Additionally humans are better at understanding the nuances of user needs and can offer tailored training and guidance whilst dealing with support calls and users.
Adaptability
Adaptability is a key skill for any support desk technician and as new technologies and systems are developed, human experts are needed to understand, implement, and support these innovations. Microsoft Azure’s AI services are regularly updated to accommodate new technologies and systems, but integrating these technologies often requires human expertise. AI tools need to be properly configured and tailored to meet the specific needs of an organization, a process that AI alone cannot handle. This is because AI does not inherently possess the necessary skills for such adaptations and would require extensive reprogramming and remapping whenever new systems or technologies are introduced.
With unforeseen issues, AI can struggle when a problem falls outside of the data it was trained on. Constant learning, training and reprogramming would need to be built in to give an AI system a chance at being able to deal with new and unusual requests.
The Future of AI and IT Support
The future is currently unclear but here are a few ideas as to where I think the use of AI could go in regards to supporting users within an organisation.
Collaboration between AI and humans could become a key aspect of the future of IT support, with an emphasis on augmentation rather than replacement. AI could be used to complement human efforts by taking over routine tasks, thereby freeing up human technicians to tackle more complex and strategic issues. As AI systems continue to improve and learn from vast amounts of data, their capability to address a wider array of problems will grow. However, the need for human oversight and intervention will remain vital, ensuring that the technology is used effectively and responsibly.
This evolution would also lead to a significant shift in the skills required for IT support roles. These roles will increasingly focus on overseeing AI systems, engaging in complex problem-solving, and offering advanced technical support. To thrive in this changing landscape, IT professionals would need to engage in continuous training and education. Staying updated with AI advancements will be essential to maintaining a productive and collaborative environment between humans and AI.
Conclusion
While AI is transforming IT support by automating routine tasks and improving efficiency, the need for human IT support will persist, particularly for complex problem-solving, empathetic customer service, and adapting to new technologies. The future will likely see a collaborative approach where AI and human IT support work together to provide comprehensive and effective solutions.

Chris Winterburn
07473 353 176
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