AI Transformation

Artificial Intelligence is fundamentally changing the way organizations operate. The technical implementation of AI processes and agents is already a challenge. However, the organizational aspect of AI transformation is often underestimated.

Why Do AI Transformations Fail?

Transformation always involves acting in the face of uncertainty, but AI makes the challenge even greater. Leaders must set the direction for their organizations. Where should AI play a role first? What is the goal? Without concrete answers, the organization will not move forward.

Metaplan’s view on AI Transformation

There is often resistance to AI-driven transformations within an organization. To address this resistance, it is important to thoroughly understand the specific reasons behind it.

Employees expect clear answers from top management on how AI will transform the organization. However, executives themselves are often at odds over what to do. These conflicts must be resolved.

AI must provide support in real-life situations—not in an idealized version of everyday life. That is why it is crucial to thoroughly understand the organization’s current state.

In every organization, there are workarounds and tricks that don’t officially exist but that everyone uses. If the AI transformation is to be successful, these cannot be ignored.

An AI transformation is often associated with the hope of working more efficiently. For such hopes to become a reality, it is essential to carefully determine exactly how AI should be used.

Many AI tools come with their own organizational frameworks. But in practice, it often turns out that a lot of customization is needed to make them fit the organization.