Augmented Technicians: When AI Revolutionizes IT Support

There are numerous applications for generative AI within companies, with impacts across all business lines. Support departments are no exception, where generative AI provides significant assistance to technicians. Indeed, faced with an increase in support requests and the growing complexity of IT systems, support teams often find themselves overwhelmed by an ever-increasing number of tickets to manage and issues that are difficult to resolve. This is where AI comes in—not to replace technicians, but to assist them in their daily work. The goal? To transform the way support technicians approach their work by providing them with an intelligent assistance tool designed to improve their efficiency and productivity. Let’s take a look behind the scenes at generative AI in ITSM and the benefits for support teams.

Generative AI at the Heart of IT Support

Generative AI: Direct Support for ITSM Solutions

Generative AI technology, powered by advanced natural language processing models, is revolutionizing the field of IT support. By integrating this AI directly intoITSM (IT Service Management) solutions, it becomes possible to simplify and automate many repetitive tasks, allowing technicians to focus on higher-value-added tasks and the most complex aspects of their work. But how does it work?

By design, generative AI is capable of storing vast amounts of data and generating structured outputs from it. It therefore leverages the data provided by companies to deliver tailored solutions to specific problems. For support services, the process follows the same logic. By drawing on ITSM data (knowledge base, resolved tickets, FAQs, technical guides, etc.), generative AI acquires extensive knowledge to assist technicians in their daily work and automate the processing of certain requests.

While generative AI has great potential, it is essential to remember that its integration into support services is not intended to replace technicians. The goal is to provide technicians with a problem-solving tool, allowing them to apply their judgment and expertise to the responses the AI provides to end users. The goal is indeed to improve response speed and relevance, but under no circumstances to replace existing processes carried out by human agents.

Technicians “enhanced” by generative AI

Advanced features for support technicians

AI integrated into ITSM solutions offers support technicians a range of key features designed to increase their autonomy and improve their productivity.

Here are some of the features that will transform the experience of support technicians:

• Detection of major incidents.
• Suggested wording for the FAQ based on support tickets and issues encountered
• Revision/Translation of the technician's response (simplification/correction)
• Suggested resolution for a ticket
• Suggested category for the ticket
• Issue Management (identifies trends and recurring issues in recent tickets)
• Summary of actions on a ticket (history)
• Generating an activity summary / satisfaction metrics
• Automatically follow up with users regarding open tickets

Support technicians equipped with new skills

The benefits of generative AI integrated into IT support are felt on three levels: for technicians, who benefit from expanded support and capabilities that enable them to resolve tickets more quickly; for the IT department, which sees a reduction in ticket costs and enjoys a better reputation among its users; and finally for users, who can obtain quick and accurate answers and experience enhanced satisfaction.

However, it is indeed the technicians who benefit most from artificial intelligence, through direct, day-to-day assistance within their ITSM interfaces. By saving time, improving response times, and enhancing service quality, generative AI enables them to become more efficient, transforming them into “augmented support technicians.”

In fact, there are many benefits for technicians:

• Expanded capabilities and greater autonomy: Access to summaries and smart suggestions enhances technicians’ skills and enables them to work more independently and efficiently. Onboarding new technicians is made easier.
• Reduced ticket resolution time: With suggested responses and summaries, the time technicians spend on research and troubleshooting is reduced, optimized, and improved by AI that draws on a well-utilized knowledge base and a comprehensive database. This allows technicians to resolve more tickets in less time.
• Time savings and increased productivity: With the help of AI, technicians are more efficient at finding information across an ever-growing number of sources and at responding to support tickets. This allows them to devote more time to resolving even more complex issues (such as computers infected with malware or hardware-related system failures).
• Enhancing the role of technicians: Technicians with expanded responsibilities are now able to resolve the majority of incidents and handle increasingly complex situations. As they become more efficient, productive, and valued, their work becomes all the more rewarding. This is particularly valuable in an industry with high turnover.

Conclusion

Since the quality of IT services is a key factor in customer satisfaction, CIOs have every reason to incorporate generative AI capabilities to improve the efficiency of their IT support. By automating repetitive tasks and providing an intelligent support tool, this technology enables support teams to work more efficiently, focus on the most complex issues, and deliver superior service. For businesses, this is a unique opportunity to transform their IT department into a driver of productivity and innovation. As technology continues to evolve, it is crucial for IT professionals to stay informed, undergo training, and adapt their strategies to fully leverage the potential of AI in ITSM.