According to the forecasts of the Gartner consultant, In 2028 more than 20% of the applications used in the workplace They will use customization algorithms driven by AIso that they allow generating adaptive experiences for workers.
Digital workers satisfied with the applications they use at work are almost three times more likely to have a greater productivity than those who are not satisfied with them. However, the number of employees satisfied with the applications they use to work fell in 2024 with respect to 2022. According to Gartner survey conducted between 5,1451 workers in July 2024, only 23% of them were completely satisfied with them, compared to 30% that were in 2022.
To solve this problem, and improve work applications to cover the hole between the experience that these and consumption apps provide, technology responsible can take several measures. The first is to implement best practices, focusing on the customization driven by these apps. These tools should analyze work styles to offer personalized information, prioritize tasks and automate workflows, all custom to improve the productivity of each employee.
They should also ensure transparency, clearly communicating how digital algorithms work at work and following ethical regulations. It is also important to generate trust and protect employee information explain in detail the decision -making processes, and implement privacy and security measures.
On the other hand, it is advisable to give priority to the key results, identifying the critical objectives for the business, such as the improvement of customer service to try to solve all their problems with a single call or contact. Determine what will be the positions that will take care of the customization promoted by AI and explore how adaptive user experiences can reduce friction and boost productivity.
In addition, it is crucial to clearly define the necessary requirements for the process of adoption and implementation of these apps. During the selection of suppliers, it is important to give priority to applications that have adaptive user interfaces through AI, personalized task management, and designs focused on employee experience to ensure intuitive and effective tools.
Finally, we must continuously monitor the functioning and acceptance of personalization driven by AI, and adapt to the different situations that may arise. Periodically assessing the effectiveness of this customization is also important, collecting employee feedback and continuously improving to ensure that the tools are in line with the evolutionary needs of workers, as well as organizational objectives.
Tori Paulman, vice president of Gartner analystsemphasizes that «Apps used to work should be as intuitive and empowering as the most popular consumption apps. It is exactly what employees want, a digital experience without barriers, personalized and omnichannel, which equals the ease and consistency of the most commonly used consumption applications. But over the last 10 years, the gap between the experiences of consumption apps and business has enlarged. Many work applications remain inconsistent, rigid and isolated, and leave much to be desired in terms of user experience. Within the framework of digital work applications, these algorithms can be crucial for productivity, since they understand and observe the preferences and behavior of the traigators, as well as their past interactions to offer custom recommendations«.
