For us, being AI first means two things:

1. Using AI to solve your business challenges

AI is not an end in itself. Our focus is on solving business challenges and driving revenue.
Today, many of these challenges can be solved smarter and more cost-effectively with AI than with traditional methods. We help you understand how.

2. Practical insight into what actually works

We continuously test new AI tools and capabilities within Marketing Tech.
This allows us to distinguish between what is ready for real-world use and what is still a “promising experiment.”

What types of problems is AI particularly good at solving?

AI delivers the greatest value where complexity, scale, or lack of structure has previously been a barrier. For example:

Content production
Create texts, emails, and variations faster – without compromising on quality.

Data matching and enrichment
Combine data from multiple systems and create a true 360° view of the customer.

Turning unstructured data into insight
Make free-text responses, open forms, and other unstructured data usable.
Let AI identify patterns and generate insights from large data sets.

Smarter segmentation
Segments based on behaviors, patterns, and complex data – not just static filters.

Automation of flows and processes
Automate tasks and customer journeys that previously required manual handling or were too complex to build.

More advanced personalization
Personalization based on more variables – including content, timing, and frequency.

What do you want to achieve?

Today, there are smarter ways to solve many business challenges within Marketing Automation.In some cases, it’s even possible to do things that were previously impossible.

Which business challenges do you want to solve?.