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KobiGPT in İstanbul Ticaret Gazetesi: Expanding team capacity

With KobiGPT, we focus on expanding the capacity of existing teams. Being featured in İstanbul Ticaret Gazetesi is a valuable opportunity for us to explain this approach.

Artificial intelligence · 2026-08-28 · 3 min de leitura

KobiGPT in İstanbul Ticaret Gazetesi: Expanding team capacity

KobiGPT is being developed by X Mind Solutions to increase the capacity of existing employees to accomplish work. Our approach is to delegate repetitive tasks to AI agents so that employees can focus on decision-making, customer management and value-added tasks. With KobiGPT, featured in İstanbul Ticaret Gazetesi, we aim to make this transformation accessible to SMEs as well.

  • 28 de agosto de 2026

We at X Mind Solutions value the coverage of KobiGPT, which we developed, in İstanbul Ticaret Gazetesi. At the heart of KobiGPT is the aim of helping businesses accomplish more with their existing employees. We see artificial intelligence not merely as a new technology investment, but as a tool for reducing employees’ repetitive workloads. We define the focus of this approach as creating a way of working that enables teams to use their time and expertise more effectively.

Rising staffing and operating costs make the question of how much work can be accomplished with existing resources increasingly important for businesses. Our starting point in developing KobiGPT was to expand the capacity of existing employees rather than add a new cost item for businesses. The aim is not simply to expect employees to work faster, but to use AI support to handle time-consuming, repetitive tasks, freeing them to focus on work where they can make a meaningful contribution.

In the model we aim to build, repetitive tasks are delegated to AI agents, while employees focus on decision-making, customer management and value-added work. We therefore seek a division of work between people and AI support based on the nature of each task. This is also the question guiding KobiGPT: when an existing team spends less time on repetitive operational tasks, where can it apply its expertise, and how can it manage more work?

Our goal is to enable teams to accomplish more without increasing their size, while reducing error rates, accelerating delivery and improving quality. We treat these not as achieved performance results, but as goals that shape KobiGPT’s development approach. We want to make it possible for a smaller team, supported by the right AI infrastructure, to manage an operational workload previously handled by several people, with higher quality. Our focus is not only on the amount of work accomplished, but also on its quality.

We are working to ensure that this transformation is accessible to SMEs, rather than limited to large organizations. KobiGPT’s coverage in İstanbul Ticaret Gazetesi is a valuable opportunity for us to explain our approach to expanding the capacity of existing teams. At X Mind Solutions, we focus on how businesses can benefit from AI support in their day-to-day operations. We thank the Information Commercialization Center, the Istanbul Chamber of Commerce and İstanbul Ticaret Gazetesi for their support.

Perguntas frequentes

What is the main purpose behind the development of KobiGPT?
Our main purpose is to increase the capacity of existing employees to accomplish work. By handling repetitive tasks with AI support, we aim to enable employees to focus more on tasks that require expertise.
What work can AI agents help employees focus on?
In the model we envision, AI agents take on repetitive tasks. Employees focus on decision-making, customer management and value-added work.
Has KobiGPT achieved lower error rates and faster delivery?
Lower error rates, faster delivery and higher quality are among our development goals. We do not present them in this content as measured or achieved performance results.
What is KobiGPT’s approach to SMEs?
We are working to ensure that the opportunity to expand operational capacity with AI is not limited to large organizations. With KobiGPT, we aim to make this transformation accessible to SMEs as well.

Kaynak: Orijinal kaynak

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