Nexthink
Nexthink Innovation, Technology & Agility
Frequently Asked Questions
Innovation is at the heart of who we are at Nexthink. Our teams are constantly exploring new ideas and building solutions that redefine how organizations understand and improve their digital employee experience. From launching our AI-powered platform, Nexthink Infinity, to developing Nexthink Adopt — which helps companies drive and measure software adoption — we focus on creating products that make work more effortless and meaningful for millions of people around the world.
Employees are encouraged to think big, experiment, and contribute ideas that shape the future of our technology. Cross-functional teams collaborate closely to turn those ideas into impactful releases, whether it’s using AI to help companies get more value from their tools or delivering new insights that make IT teams more proactive.
This spirit of innovation is one of the reasons Nexthink continues to be recognized as a leader in our space — earning top ratings on G2 and praise from customers for transforming the way digital workplaces run. It’s a place where your ideas can truly shape what comes next.
Nexthink Employee Perspectives
What is the unique story that you feel your company has with AI? If you were writing about it, what would the title of your blog be?
Nexthink’s journey with AI began two decades ago, when we set out to build a security solution that could detect anomalies, long before AI became the buzzword it is today. While our mission has evolved and we’ve become a leader in Digital Employee Experience, AI in our DNA and data-driven innovation remain at the heart of everything we do.
What was a monumental moment for your team when it comes to your work with AI?
We see conversational interfaces as the most natural and effective way to access DEX insights. As AI agents evolve, we’re more excited than ever about their potential to deliver personalized, proactive support at scale, reshaping the way our customers experience IT.
AI is a constantly evolving field. Very few people coming into these roles have years of experience to pull from. Explain what continuous learning looks like on your team. How do you learn from one another and collaborate?
We’re all learning as we go, and that’s part of what makes working with AI exciting. No one has all the answers, so we test ideas, share what works (and what doesn’t), and build on each other’s progress. Prototyping is a big part of our process: try fast, learn fast, improve fast. We remain curious and move forward as one team.
