Scott Leonard: Embrace AI to Future-Proof IT Support

The IT support industry is at a critical juncture. It finds itself grappling with rapidly advancing technologies as well as a growing volume of complex support tickets. These issues have proven difficult to manage with traditional resolution methods, with the slow pace and inefficiency often leading to increased downtimes and user dissatisfaction. It is fair to say that there is a pressing need for innovative solutions.

“AI is the first real technology I see that is going to radically reshape the field,” states Scott Leonard, CrushBank’s CMO. Drawing an analogy to self-driving cars, Leonard highlights AI’s superior capability to handle multifaceted tasks: “AI in those vehicles can monitor weather, a 360 view, traffic it can see, and traffic it cannot see, in a way that a human with one set of narrowly focused eyes and a playlist, will never match.”

In this context, artificial intelligence (AI) has emerged as the pivotal technology to save the day. But despite AI being offered up as the solution to everything, it is effective here as well, offering significant potential to streamline IT support processes and enhance service delivery. And among the companies at the forefront of this shift is CrushBank, a company utilizing AI from IBM WatsonX to transform how IT support functions, where Scott Leonard leads marketing efforts.

CrushBank’s approach revolves around the development of a private data lake that aggregates extensive data from various company systems and IT support resources. This integration enables the AI to tailor its responses to the specific data environment of each company, enhancing the relevance and accuracy of its solutions. Such targeted assistance promises to expedite problem resolution, thereby reducing operational downtimes, according to Leonard.

The technology also allows for automated summarization of ticket descriptions and resolutions, which presents complex information in concise, manageable snippets. This capability accelerates the resolution process and improves the overall workflow within help desks, allowing engineers to address more issues in less time.

Moreover, CrushBank’s ticket classification system sorts both new and historical tickets, optimizing workflow efficiency and enabling a more nuanced analysis of issues, says Scott Leonard. This feature is particularly valuable for identifying trends and patterns, facilitating predictive troubleshooting, and better preparing IT support teams for recurrent problems.

Existing features are positioned to prepare CrushBank for the future, aiming to generate knowledge base articles using AI. The aim is to change knowledge management within organizations by ensuring that the most current and accurate support information is available and evolves in real time as new challenges arise.

Such advancements underscore a broader trend toward integrating AI technologies to enhance efficiency and reduce costs across various sectors. In IT support, these innovations lead to smarter, more responsive systems that adapt dynamically to the evolving needs of businesses.

CrushBank’s commitment to continuous learning ensures that its AI solutions improve over time, learning from each interaction to refine their problem-solving capabilities. This aspect of continuous improvement is essential in an industry characterized by rapid technological changes.

Scott Leonard also points out the operational efficiencies driven by AI, such as its ability to maintain fluidity in media plans and execute tasks in fractions of a second — capabilities that streamline workflows and enhance productivity.

“AI can scan for and rip through the largest data sets, to develop creative that impacts harder, and media that is connecting many times more effectively. AI will also be able to keep a media plan fluid in increments far less than a full second,” explains Leonard.

As CrushBank continues to expand the boundaries of what AI can achieve in IT support, it not only enhances its capabilities but fundamentally reshapes industry standards, ensuring that IT systems are not just maintained but are perpetually evolving to meet future demands.