NEXTHINK
Defining the AI-native company Around two years ago, Nexthink began using the term AI-native to describe its product strategy and its internal culture. Moe draws a deliberate parallel with an earlier era of technological transition:“ If I reflect back 10 years, companies wanted to be cloud-native and now we want to be AI-native.“ I feel like we are all in an era where we ' re defining what AI-native is.” At Nexthink, the concept operates on two levels. The first is product: building with AI as a first-class citizen, starting from the foundational models and machine learning rather than adding AI to an existing architecture. The second is internal: using AI to drive efficiency across every workflow, team and process.
This, Moe emphasises, is as much a cultural and operational shift as a technological one. Being AI-native demands a change in mindset which must run through the entire organisation – not just the engineering function.
Nexthink was founded out of an AI lab at EPFL in Lausanne, meaning the technology is, in Moe’ s words,“ in our DNA”. AI has always been embedded in Nexthink products, even when it was not the primary focus, but it has become a matter of reinvention for survival.
“ Companies and people need to reinvent themselves every couple of years," asserts Moe.“ You need to adopt new technologies and tools to become much more efficient.
“ If we don ' t reinvent ourselves, we will be left behind. If we want to stay the leaders in our category, we have to be using the latest technologies and tools.”
“You need to remove all of the industry noise and focus on the value you ' re trying to add”
Moe Haidar Head of Agentic AI and Engineering Nexthink
Embedding AI across products and processes Nexthink ' s approach to integrating AI falls into two distinct streams. The first is enhancing existing products: each team with ownership of a service has been given a brief to identify how
AI can add more value for customers.
The second stream is building new AI-native products, including autonomous agents. A dedicated department has been established to focus solely on this, starting from AI as its foundation rather than bolting it on afterwards.
The same logic applies internally. Moe points to the software development lifecycle as the clearest illustration, covering ideation, design, implementation and release.
6 May 2026