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It did not take long for AI tools to appear in workplaces. After a period of exploration, almost every industry has found how artificial intelligence can benefit them, not only in improving operations and modernization, but also in employees’ everyday tasks.
At almost the same time, a sense of failure also appeared. Despite technical implementation, the purchase of licenses, a successful test period, and training sessions, colleagues rarely or never use AI tools in their daily work.
In the first few weeks, the situation may still seem promising, but later AI usage gradually declines. The tool would be useful, yet employees continue working with their familiar methods. Leaders encourage and support the use of AI, but the change is barely visible in day-to-day operations.
For this reason, many companies may feel that despite careful planning, the AI rollout was unsuccessful, and perhaps it was not worth starting at all. At this point, however, it is worth reviewing the situation, because introducing AI tools is not a simple software installation, but part of a complex change.
The fact that an AI tool is available and that we have demonstrated its use in training sessions unfortunately does not automatically mean that it will organically become part of everyday work. In such cases, two aspects must definitely be examined: in which areas the company expected change when it started introducing the use of AI tools, and what kinds of concerns may have arisen among employees in relation to the new technology.
The use of artificial intelligence in the workplace can reshape the entire way of working. It changes how people work, how they search for information, how they make decisions, and how teams collaborate.
For employees, however, the key question will be why and how using AI can make their work better or easier compared to how they worked before. Can they trust the new tool at all? Was it worth the energy invested in learning how to use it? And perhaps most importantly: will it make the workflow more complicated?
So the question is not only whether they can learn how to use the new tool, but why they would want to use it in their everyday work at all. If a company approaches AI implementation as an IT project, this problem can appear very quickly. Just as the internet and the use of Google fundamentally transformed how we work, it is worth looking at AI in the same way and approaching its implementation with the tools of change management instead.
Just like our everyday habits, our work habits do not change overnight. Once the technical implementation of the AI tool has taken place and the training sessions have been completed, ideally an intensive upswing follows. Colleagues try out AI, get to know it, and probably discover quite a few benefits, but then after a few days or weeks they return to their previous habits, and the new tool fades into the background.
This is one of the biggest challenges a company may face during an AI rollout. We must face the fact that we cannot expect employee behavior to change as a result of a single training session, workshop, or user guide. The use of AI tools is not the result of a one-time decision; it is much more like implementing a new habit - with all the challenges that come with it.
It may happen that even after the initial experimentation, colleagues still do not understand exactly what they should use the AI tool for. They are afraid of making mistakes, they do not really see its relevance in their own work, or they already have too many systems to deal with at once. General distrust toward the answers and solutions provided by artificial intelligence may also arise.
What is important to understand is that when colleagues stop using AI after the initial momentum, it most often does not indicate resistance, but rather uncertainty, overload, and a lack of proper support.
Overemphasizing the technical side is very likely to lead to the situation described above. Internal communication plays an enormous role in properly conveying to employees how AI can make their work easier, what specific problems it can solve, and how much time they can save by using it.
Continuous education, regular reminders, and specific practical examples can help employees more easily develop a sense for the long-term, everyday use of AI.
The role of direct managers is especially important in all this. They are the ones who can further encourage AI usage within their teams through frequent reinforcement, and they can provide the specific context for how and for what purposes colleagues can use artificial intelligence in their daily tasks.
The main focus should be on the fact that employee motivation is shaped primarily by the example set by their own direct managers, and not by general top-down communication.
Another typical obstacle to AI rollout is that there is already too much system noise at work, and employees completely lose track of what is happening. If they have to use a separate channel for everything, or if communication is too fragmented, the everyday employee experience deteriorates drastically. In such an environment, introducing AI is very likely to generate little interest and low engagement. If there is no unified experience, communication will not be effective either, and the AI rollout may fail.
With the Blue Colibri App, the entire workforce becomes reachable, and continuous communication can take place on a single central platform. This way, the AI rollout will not be a one-time campaign, but a consistent, gradual, experience-driven, complex operational transformation and mindset shift.
Deliver leadership messages instantly through the application, and share specific AI usage tips with colleagues in the Blue Colibri App. You can also create microlearning content to help teams learn how to use AI more easily. You can monitor how employee engagement develops in relation to AI tools, and everyone has the opportunity to give direct feedback on their experiences.
