AI in your company: How to effectively manage employee emotions in the face of change.

Krystian Bergmann

It is worth remembering that artificial intelligence is not just about applications and process automation. It is, first and foremost, the support of people working in an organization - or simply humans.

Promises of automating tedious tasks, improving efficiency and innovative solutions often arouse excitement and curiosity in male and female employees. The prospect of being relieved of routine tasks and being able to focus on the creative aspects of work fill them with relief and satisfaction.

However, like any revolutionary change, the implementation of AI in a company is also a source of complex emotions that can cause a kind of blockage. Along with enthusiasm come fear of losing one's job, uncertainty about one's future role in the organization, and the stress of having to learn new tools. Initial frustrations and resistance to change are a natural reaction to the unknown.


How can companies manage emotions around AI?

The key to successful AI implementation is to consciously manage employee emotions. Check out the methods that will help you go through the process smoothly:


The ADKAR model: a proven approach to change management with AI

The implementation of artificial intelligence fits perfectly with ADKAR's change management model. It's a structured approach that takes into account the five key stages that employees must go through to make change effective and sustainable.

A - Awareness

Employees must understand why change is necessary. This is the first and fundamental step. In the context of AI, this means making the team understand why implementing this technology is crucial to the future of the company - what benefits it will bring, such as increased efficiency or innovation, and what the consequences of not adapting are. The key is to believe that AI is not a threat, but an opportunity for growth.

D - Desire

People must want to participate in the change process. It's not enough to understand the need for change, you still have to want to engage in it. Here, it is crucial to show employees how implementing AI will positively affect their role in the organization - for example, by automating boring, repetitive tasks, allowing them to focus on more creative and strategic activities. It is also important to allay fears of job loss by emphasizing that AI is a tool that supports, not replaces, human intelligence.

K - Knowledge

Employees must acquire the necessary knowledge and skills to implement the change. At this stage, the company must provide comprehensive training and education. It's about understanding how AI works, how it can be used in daily tasks, and what process changes result from its implementation. Training in specific AI tools, algorithms or automation systems is essential here to make employees feel competent.

A - Ability

After gaining knowledge, employees must be able to put it into practice and start using AI effectively in their daily work. Knowledge is one thing, but the ability to apply it in practice is another. This stage requires practical exercises, simulations and ongoing support. Mentoring, dedicated learning platforms or technical assistance are crucial for employees to overcome initial difficulties and integrate AI into their duties.

R - Reinforcement

The implementation of AI must be supported permanently for the change to be sustainable. This is the stage of consolidating new behaviors and habits. The company should put in place incentive mechanisms, rewarding employees who use AI effectively and achieve positive results. Rating systems, bonuses for innovation, or appointing "AI ambassadors" within the company to share best practices will help maintain engagement. Regular feedback and technology updates are also critical here.


Case: AI in data analysis

Imagine a company that implements an artificial intelligence system to analyze market data.

  1. Awareness: the company holds briefings to clearly communicate to employees why AI's more precise analysis of data is critical to competitive advantage and business growth.
  2. Desire: Employees are being shown how AI will relieve them of the tedious task of collecting and sorting data, allowing them to focus on strategically interpreting results and creating innovative solutions.
  3. Knowledge: The company then organizes workshops and training on how to use the new tool, teaching employees how to ask AI questions and interpret the reports it generates.
  4. Ability: For the next few weeks, employees work with the new system under the guidance of mentors, run simulations of sales forecasts, and their mistakes are corrected on an ongoing basis.
  5. Reinforcement: Finally, the company is introducing a reward system for teams that best use AI to optimize marketing campaigns, as well as holding regular experience-sharing sessions.

Implementing AI is a complicated process that goes beyond the technology itself. It is first and foremost a change in the mindset and behavior of employees. Using the ADKAR model, companies can build a solid foundation for effective emotion management and ensure that artificial intelligence becomes a true asset, rather than a source of stress and frustration.

If you're planning to implement artificial intelligence into your organization - it's worth breaking down the process into stages. Concordia Design, in cooperation with Netguru, has prepared a workshop to implement AI into your organization based on your needs. One part of implementing AI can be managing the emotions of people working in the organization and preparing them for the improvements and new responsibilities that artificial intelligence will support.Want to learn more? Check out AI PRIMER, leave your information and we'll get in touch with you: https://www.concordiadesign.pl/ai-primer/

About the author_rce

Krystian Bergmann

Krystian is AI Consulting Lead at Netguru, a leading European software house, where he is responsible for AI, Machine Learning and Data projects. In recent years, he has implemented generative artificial intelligence projects in the insurance, education and real estate sectors and facilitated creative workshops using AI. Krystian is part of the Tech To The Rescue project, where he leads the process of using artificial intelligence for NGOs implementing global change (AI for Changemakers). He has worked for more than a decade with major technology companies such as Google, Apple and Huawei. In addition to his work at Netguru, Krystian works at SWPS University, where he teaches Service Design and combining technology with human centric methods.