How do you actually scale AI in your organization?

The real challenge lies elsewhere.

How do you make sure all those experiments do not end up scattered across tools, teams and initiatives, but instead contribute to the way your organization actually works?

Why does AI look like the holy grail, yet the results rarely show up in your KPIs or P&L?

In many organizations, AI tends to look like this:

• there are dozens of pilots
• colleagues are using different AI tools, without a central approach
• all kinds of ideas and initiatives are emerging bottom-up, while a clear top-down ambition is missing
• as a result, governance is only introduced later, or not at all
• solutions are not integrated into existing processes

The result is easy to predict: lots of experimentation, very few scalable solutions.

How successful organizations approach AI implementation

Organizations that create above-average impact with AI treat it as a structural part of the organization, just like data, finance or IT.

Instead of relying on isolated initiatives, they build a central capability that makes AI development repeatable and scalable. AI is integrated into existing workflows, governance is addressed from the start, and impact is continuously measured against KPIs, P&L and cycle time.

Many of these organizations structure this through an AI Hub. An AI Hub ensures that AI does not remain a collection of separate projects, but becomes a structural way of working. This allows successful use cases to be repeated and rolled out more quickly across teams and domains. (register for this webinar, where we will explain this concept in more detail).

What you will learn about AI implementation in organizations

In this webinar, we will show how these kinds of organizations approach scaling AI in practice. We will cover topics such as:

• the main causes of limited impact
• how Enterprise AI delivery works
• the minimum data foundation required
• how an AI Hub helps make AI safe and scalable
• how AI is integrated into real workflows

Webinar details

Date: March 26, 2026
Time: 10:00 – 10:30
Location: Online (the participation link will be shared after registration)

Sign up now

Make sure AI does not remain stuck in disconnected tools, but grows into a capability that creates real impact on KPIs, cycle time and decision-making. Curious how organizations are approaching this?

Register for the webinar and learn how to turn AI initiatives into scalable Enterprise AI.