Too much reliance on legacy systems has a ripple effect on the company.
1. Disparate tools:
Due to the lack of centralized tools across service desks, your people may be forced to work with disparate systems.
2. Preference over familiar tools:
Despite having a service desk platform, your people continue to use familiar tools such as emails, phone calls, and messages to communicate their problems and get help.
3. Scattered metrics:
Information in silo hinders visibility into service desk metrics, making it challenging for stakeholders to improve service desk performance and leading to user dissatisfaction.
This is just the tip of the iceberg. The internal problem is quite big.
High total cost of ownership (TCO)
With a legacy infrastructure, you combine many tools to facilitate service desk operations. Under the fold, the total cost of ownership of these tools is high. You must take care of so many things one at a time—
Recurring license costs
Hardware maintenance costs
Cloud infrastructure
Developer costs
Upgrades and installs
Another pain point is that you inadvertently have a similar kind of communication tool for service desk management with similar use cases. These tools work in a silo, giving limited visibility into their usage and unnecessarily breaking the bank.
For example, you have a point solution to manage service desk operations. Yet, you find your people use Teams to communicate the same concern. Hence, you pay for the point solution and the MS 365 suite for service desk management. As a result, you cannot optimize the use of tools and resources appropriately.
Lower adoption rate
Let’s say, as a point solution, you have a service desk platform to maintain IT support. In most cases, these platforms are less likely to offer advanced forms of automation to streamline operations. As a result, users are more inclined towards using familiar tools such as emails, phones, and chat.
This is the perfect example of underutilizing your investments in these tools. Your people avoid the point solution and use scattered mediums for employee support. One reason can encompass a deep learning curve, leaving employees annoyed to adapt to the platform easily.
Higher rate of agent involvement
As you struggle to optimize IT resources to the fullest, the efficiency of service desks eventually drops.
The limited automation in self-service piles up ticket volumes, forcing agents to overutilize their time on these tickets.
This can lead to errors while addressing the same issue and agent fatigue. Alongside the high IT investment, you are highly likely to increase your bottom-line spending to compensate for agents' overtime payments and to refill new positions for repeated attrition.
IT cost optimization is essential for striking a balance between service desk efficiency and cost-effectiveness. Generative AI can play a big role in helping you optimize your service desk resources.
Generative AI is the latest addition to the world of AI innovation. With its high-scale NLP, NLG, and NLU capabilities, it is making transformative waves for almost every business function.
It makes sense to keep up with modern technologies like Generative AI to make your IT service desks efficient and competitive. Generative AI complements your existing platform, helping you optimize IT costs overall and generate valuable ROI from IT investments.