Problems are part of everyday life in every company. Whether it’s bottlenecks in production, unclear administrative processes, or customer complaints—without a systematic approach, many issues remain unresolved. This is exactly where our problem-solving workshop comes in. We now use the integrated AI feature in kyro, which supports and accelerates the entire process.
The first part of the workshop is designed analogously. Participants first learn how to describe a problem, how to identify causes, and how to describe measures. Only in the second part of the workshop do we use AI for problem solving. This allows participants to see directly how AI provides support and what advantages the use of artificial intelligence has. In this blog post, we will focus on the second part of the workshop – problem solving with AI support.
AI-Supported Workshop Process
The workshop follows a clear structure. Participants bring a specific problem with them. With the help of AI in kyro, this problem is worked through step by step – from description to cause analysis to action planning.
1. Problem Description
The AI starts the process with specific questions:
- What exactly is the main problem?
- Where does it occur?
- When does it occur?
- Who is affected?
- Why is it relevant?
- What are the consequences (errors, costs, deadlines, loss of revenue, overtime, risks)?
- How often does it occur?
- How can its impact be measured?
The answers are documented directly in kyro. The AI then creates a structured summary of the problem description. This lays the foundation for the next steps.
Here is some feedback from participants in the problem-solving workshop:
“The AI’s targeted questions were very helpful because they made me think about aspects of my problem that I hadn’t considered before. The structure of the questions helped me organize my thoughts and focus on the key points.“
”AI is an ingenious addition and asks the right questions – it was very exciting to try it out.“
”I realized how difficult and time-consuming it can be to identify the actual problem – and how helpful AI is in this regard. It helps to ask the right ‘why’ questions.”
2. Root Cause Analysis in the Problem-Solving Workshop
In the next step, AI supports participants in analyzing the causes. Here, too, the process is based on questions and structured documentation:
- What are the suspected causes?
- How can these be verified or confirmed?
- Which causes have the greatest impact?
- Which factors can be influenced – and by whom?
This creates a clear picture of the relevant causes. Minor issues fade into the background and the team focuses on the points with the greatest impact.
The feedback from participants on cause analysis with the help of AI is also consistently positive:
“AI asks questions like a person and thus efficiently helps me to identify the cause more clearly.”
“It was particularly helpful that the AI also pointed out possible connections that I hadn’t considered before.”
“AI interprets things just like we humans do. It gives you new ideas and impulses that you might not have had on your radar yourself.”
3. Action Planning
Once the causes are clear, it’s time to take action. AI also supports this step. It uses root cause problem solving to generate suggestions for short-term, medium-term, and long-term measures. These must then be reviewed, evaluated, and prioritized by the participants.
AI uses key performance indicators (KPIs) to highlight which measures require little effort but have a big impact. At the same time, the suggestions make it easier to assess which steps are risky or expensive. This allows implementation to be specifically controlled and later reviewed.
We also received feedback from participants on the action planning:
“The suggestions for short-term, medium-term, and long-term measures were surprisingly positive and comprehensible.”
“The distinction based on time axes in particular helped me to develop a clear plan.”
“Instead of holding long brainstorming sessions, AI quickly provides structured approaches and suggestions that can be used directly.”.
Advantages of AI Integration in the RCPS Workshop
The integration of artificial intelligence into kyro brings several advantages to the workshop:
- Structure: The questions follow a clear logic. No step remains incomplete.
- Efficiency: The AI automatically creates summaries, so no minutes need to be written manually.
- Transparency: All participants work with the same information base.
- Focus: Instead of getting lost in details, the causes and measures with the greatest impact become visible.
- Sustainability: Results and measures are stored directly in kyro and can be followed up after the workshop.
Participants in the problem-solving workshop appreciate kyro’s AI feature:
“With the right input, AI is very efficient and saves time – practice makes perfect. “
”The AI quickly provides counter-questions and ideas, thinks more broadly, and provides valuable input in a matter of seconds, which the user can then incorporate.“
”The workshop was an efficient method for analyzing challenges in a structured way and developing solutions – the AI noticeably speeds up the process.”
“The RCPS workshop was an exciting opportunity to learn about and deepen my understanding of a methodology outside of my everyday work. The comparison between manual and digital work with kyro & AI was particularly exciting.”
Conclusion on the Problem-Solving Workshop with AI in kyro
The problem-solving workshop with AI in kyro combines proven methodology with modern technology. Problems are clearly described, causes are analyzed in a structured manner, and measures are planned in a targeted way.
AI ensures consistency, speed, and traceability—making the workshop even more effective.
Would you like to experience the new approach for yourself? Then get in touch and book a problem-solvingungs-Workshop mit kyro und KI.
