Before AI became a foundational part of society, trust in business was built through human relationships, experience, and proven track records. Both decision-making authority and responsibility clearly belonged to people. Today, as AI analyzes, predicts, recommends, and in some cases makes decisions autonomously, the nature of trust is fundamentally changing. In many decisions, who made the judgment has become less visible, while why a decision was made has become harder to understand. This structural shift lies at the heart of the growing uncertainty around trust in the age of AI. Yet one thing remains unchanged: responsibility for business outcomes always rests with people. That is why we believe AI should not replace human judgment, but support it—by making the reasons behind decisions clear and understandable. Looking toward a positive future, we believe that what truly needs to be innovated is not AI's performance itself, but how people choose to use AI. With this conviction, we continue to propose new forms of innovation for the AI-driven era.

A new vision of AI that powers business with WHY

Many of today's mainstream AI technologies deliver high accuracy and flexible generative capabilities, while remaining largely black boxes whose outputs are difficult for humans to interpret or explain. These technologies create significant value in areas such as information discovery, prediction, and generation. However, in critical business and societal decisions, the ability to explain why a conclusion was reached is essential. To address this, we have pioneered a white-box approach based on causal reasoning—Causal AI—which makes decision logic interpretable and explainable. We believe that understanding the assumptions and mechanisms behind decisions forms the foundation of trust in the AI era. At the same time, our answer is not an either-or choice between white-box and black-box AI. By combining the strengths of both approaches according to context and purpose, we can deliver AI that is both practical and capable of safely extending human capabilities.

Our xCausal™ platform and Causal AI Assistant combine causal, white-box technologies with the flexibility of generative AI and AI agents in a complementary way, enabling organizations to inherit the knowledge and judgment of highly skilled professionals and evolve them into scalable systems—delivering a new vision of AI built for the age of trust.