Nov 7, 2026 · 5 min read
This article, an extended version of a study presented at the Paris TRIZ Conference, examines how professionals' creative thinking skills can be developed with AI-supported TRIZ integrated with creative thinking techniques.
Bora Kaykayoğlu and Prof. Dr. C. Ruhi Kaykayoğlu
Nov 3, 2026 · 2 min read
Leaving too much of the thinking to AI can erode judgment, problem framing, and creativity within organizations. The research examines the warning signs and how work can be organized to preserve these skills.
Bora Kaykayoğlu
Oct 28, 2026 · 2 min read
TRIZ addresses engineering contradictions in which improving one property makes another worse. Drawing on principles used in similar problems, it seeks solutions that improve both properties together.
Bora Kaykayoğlu
Oct 24, 2026 · 2 min read
When the same error keeps recurring, its cause may not have been investigated thoroughly enough. 8D and root cause analysis define the steps in that investigation and how to verify the solution.
Bora Kaykayoğlu
Oct 16, 2026 · 2 min read
For R&D and design centers to generate new ideas regularly and turn them into projects, finding and selecting ideas needs a place in everyday work.
Bora Kaykayoğlu
Oct 10, 2026 · 2 min read
An AI-Native company redesigns its business processes, decision-making practices, and team capabilities with AI. The work runs from understanding team capabilities to achieving measurable results on a real business problem.
Bora Kaykayoğlu
Oct 8, 2026 · 2 min read
Creative thinking can be developed through methods that help us look at a problem from different angles. Biomimicry, metaphorical thinking, and other techniques can help us move beyond familiar solutions at work.
Bora Kaykayoğlu
Oct 4, 2026 · 2 min read
Generating ideas means opening up options, while making decisions means narrowing them down. When both happen at once, suggestions can be dismissed before anyone understands them.
Bora Kaykayoğlu
Oct 1, 2026 · 2 min read
Data supports the reasoning behind a decision. A well-constructed narrative also shows what happened to produce that data, how the decision was made, and what changed afterward.
Bora Kaykayoğlu
Sep 27, 2026 · 2 min read
If the same problem comes up every month, we need to look at the solution alongside what the organization has learned from the problem and how it shares that knowledge.
Bora Kaykayoğlu
Sep 23, 2026 · 10 min read
TRIZ approaches new problems by drawing on the ways past inventions found solutions. I look at how it identifies contradictions, examines systems, and selects suitable problem-solving tools.
Prof. Dr. C. Ruhi Kaykayoğlu
Sep 21, 2026 · 2 min read
How we define a problem shapes the direction of our search for a solution. Combining systematic thinking with creativity helps us reframe the question and test our options.
Bora Kaykayoğlu
Sep 12, 2026 · 2 min read
AI's contribution to work depends on the problem it is used for and how its output is evaluated. Developing human capabilities alongside technology matters if that contribution is to become part of everyday work.
Bora Kaykayoğlu
Sep 9, 2026 · 2 min read
Corporate academies can connect competency maps and learning journeys with real business problems. To see how development translates into work, they also need to define the behaviors to observe.
Bora Kaykayoğlu
Sep 6, 2026 · 2 min read
A new business model can emerge from presenting existing value in a different form. Tracking changing needs and testing options through small experiments helps assess these possibilities.
Bora Kaykayoğlu
Aug 27, 2026 · 1 min read
In an AI-Native organization, teams define problems, question AI outputs, and explain their decisions. How tools fit into the work is considered alongside the team's thinking skills and responsibilities.
Bora Kaykayoğlu
Aug 24, 2026 · 2 min read
As Rıfat Özcan’s guest on Axis Network, Y. Bora Kaykayoğlu described how an AI-Native professional works. The conversation covered human capabilities, problem-solving methods, and the impact of AI agents on the business world.
Bora Kaykayoğlu
Aug 19, 2026 · 1 min read
An AI-Native family business brings together the family’s accumulated knowledge, the next generation’s perspective, and professional management capabilities around a shared business need. AI is used to evaluate information and develop new options.
Bora Kaykayoğlu
Aug 13, 2026 · 1 min read
An AI-Native university considers teaching, research, and administrative operations alongside human capabilities. Verification and responsibility for decisions matter as much as where AI is used.
Bora Kaykayoğlu
Aug 8, 2026 · 2 min read
An AI-Native team is defined by how it redesigns work around outcomes, rather than the tools it uses. I explore the thinking strengths a team brings, how tasks are divided across its workflow, and how to track development through real cases.
Bora Kaykayoğlu
Aug 3, 2026 · 2 min read
As 2027 approaches, professionals need to understand their expertise, frame problems clearly, and maintain quality when working with AI. AI-Native work considers how tasks, responsibility for decisions, and learning fit together.
Bora Kaykayoğlu
Aug 1, 2026 · 2 min read
As access to information and first drafts becomes easier, understanding problems, distinguishing causes, and making decisions become more important. Organizations using AI also need to consider the risk of these capabilities eroding.
Bora Kaykayoğlu
Jul 30, 2026 · 2 min read
AI-Native leadership requires deciding which organizational priority AI will serve and how success will be measured. Putting that direction into practice means considering team capabilities, human responsibility, and the results of applications together.
Bora Kaykayoğlu
Jul 24, 2026 · 2 min read
Choosing AI use cases requires clarity about what the organization wants to change. Considering strategic needs, workflow problems, and team capabilities together makes it easier to decide which applications deserve priority.
Bora Kaykayoğlu
Jul 23, 2026 · 1 min read
A long-term perspective, strong relationships, and industry knowledge accumulated across generations give family businesses a starting point for AI-Native transformation. How they use that experience depends on the generations' shared goals and how decision-making responsibilities are divided.
Bora Kaykayoğlu
Jul 16, 2026 · 5 min read
SaaS provides software for employees to use, while GaaS carries out a task within boundaries set by people. This distinction means intrapreneurs need to design how tasks are shared and where checks belong, alongside choosing tools.
Bora Kaykayoğlu
Jul 7, 2026 · 1 min read
AI-Native professionals work with an understanding of their own expertise and limits. They use AI for research and generating options while taking responsibility for evaluation, context, and the final decision.
Bora Kaykayoğlu
Jul 4, 2026 · 1 min read
AI can quickly generate solutions to a well-defined problem and amplify a poorly framed one just as fast. Before moving to solutions, we need to distinguish symptoms, causes, and the outcome we want to change.
Bora Kaykayoğlu
Jun 30, 2026 · 1 min read
AI can scan data, find patterns, and compare possible outcomes. A decision involves more: the organization's purpose, values, relationships, risk appetite, and the impact on people all come into play.
Bora Kaykayoğlu
Jun 26, 2026 · 1 min read
AI can generate hundreds of ideas in a short time. Creativity depends less on the number of options than on recognizing a meaningful need, making distant connections, choosing a strong direction, and turning an idea into a solution that creates value in the real world.
Bora Kaykayoğlu
Jun 3, 2026 · 1 min read
AI-Native work in engineering extends from understanding requirements to comparing alternative architectures and verification. The options AI generates are assessed through engineering judgment.
Bora Kaykayoğlu
Jun 1, 2026 · 1 min read
To evaluate an analysis, we need to know which decision the data supports, which period it represents, and what it measures and how. AI can speed up analysis, but people remain responsible for questioning the limits of both the question and the data.
Bora Kaykayoğlu
May 30, 2026 · 1 min read
AI is speeding up both attacks and defenses. Employees who access data, produce content, make decisions, or set up automation also need to recognize unusual requests and attempts to exceed authority, and know when to stop.
Bora Kaykayoğlu
May 29, 2026 · 1 min read
Results from the same model can vary with the domain knowledge and thinking habits of the person using it. Evaluating AI training requires looking beyond frequency of use to problem definition, output review, and decision quality.
Bora Kaykayoğlu
May 26, 2026 · 1 min read
In family businesses, knowledge of customers, production nuances, and the reasoning behind decisions made in difficult times accumulates over the years. AI can make that knowledge easier to access, while people remain responsible for its accuracy, context, and who can see it.
Bora Kaykayoğlu
May 24, 2026 · 1 min read
In family businesses, one generation's industry intuition and memory of risk can complement another's ability to try new tools and work with data. Working on a shared case offers a chance to assess both business results and the transfer of knowledge and responsibility between generations.
Bora Kaykayoğlu
May 23, 2026 · 1 min read
AI governance in family businesses defines who can make decisions and under what conditions. It can make room for experimentation while taking account of the family's values, the company's reputation, and employees' trust.
Bora Kaykayoğlu
May 6, 2026 · 1 min read
When evaluating an AI investment in a family business, the company's growth goals, expected outcomes, and readiness should be considered together. Alongside time savings, the investment decision should account for quality, risk, customer impact, and employee development.
Bora Kaykayoğlu
May 4, 2026 · 3 min read
The WIPO Global Innovation Index 2026 was announced in Geneva on September 29, 2026. Based on approximately 80 indicators, the gap between Türkiye's inputs and outputs suggests we also need to consider human capabilities when turning ideas into technology and economic value.
Bora Kaykayoğlu
May 3, 2026 · 1 min read
In the new AI-Native sprint series, teams work on real organizational cases. Starting with a strategic need, they reframe the problem, examine the human capabilities it requires, and test how people and AI will work together.
Bora Kaykayoğlu