AI at Kentico: Alexandros on Strategy, Developer Workflows, and What’s Next
What does it take to scale AI across an entire tech company? At Kentico, that challenge falls to Alexandros, our AI Enablement Lead for the R&D department. Alexandros shares what the role actually involves, how developers at Kentico are using AI today, and what sets our approach apart, from tooling and experimentation to platform strategy. He also reflects on common AI misconceptions, evolving developer workflows, and where the real impact with AI begins.
Guiding Kentico's AI Adoption.
Your role, AI Enablement Lead, is still quite new in the industry. How would you describe it in your own words?
It’s a complex and very dynamic role that shifts depending on how the industry evolves. In practice, I wear many hats. Sometimes I’m a product manager, sometimes a product owner, and at other times I’m effectively a developer. A big part of it is guiding the organization toward a “happy path” with AI enablement. That means defining metrics, goals and budgets, but also making sure our knowledge base and internal processes align with the tooling. You can have a perfect plan and then a new release changes everything. So you end up planning in short bursts, usually just a quarter ahead. We still have a planned strategy, but during periods of rapid developments, it’s important to keep up with the latest changes and adjust.
You’re currently kicking off several AI-focused projects. Can you tell us more about them?
Sure, since our AI tooling is available to everyone at Kentico, it creates a unique situation. Most companies only let a few experiments with AI tooling, we’ve opened it up to everyone.
Our AIRA and KentiCopilot teams are leading the way for Xperience by Kentico, but part of my job is to take what they build and make it transferable across the whole organization. We’re also trying to centralize common ideas, like AI-assisted code review, improved documentation and process automation. Instead of solving them in silos, we group them into broader initiatives. Another big focus is experimenting with the various agent frameworks from Microsoft, OpenAI, and others. These give us access to more elaborate workflows tailored to our needs. There’s incredible value there.
And what about Kentico’s platform, how does Kentico approach AI at the platform level?
Interestingly, as we’re both adopting AI tooling, and also creating a platform with AI services, how we build internally and how our partners and users build on the platform can be very different. We have to keep the core platform stable, secure and reliable. That means we can’t roll out “70% solutions." Our platform needs to be dependable even in the age of AI.
At the same time, we want our partners to be able to plug in their own agents and automations. That’s why KentiCopilot isn’t just a set of services. It includes documentation, MCP servers, and tools developers can build on. Internally, our agent framework is held to ever stricter standards because customers rely on us, not on themselves, to ensure the outcome is right.
How AI Became the Focus.
You have a background in developer roles. What brought you into the world of AI?
I didn’t plan on becoming a web developer. I wanted to work on serious things like device drivers and robotics, but I ended up in UK marketing agencies instead. I had a breakthrough as a technical architect, which gave me a lot of insight into digital services. I always had an interest in AI. At university, I worked with professors on AI research. Once it became more commercially available, I figured it was time to go professional with it. I’m both excited and terrified about the possibilities with AI. There’s a lot of good that can be done with sensible applications of AI. It’s a very interesting problem to work on.
You’re also active on social media, with your own YouTube channel and blog where you share your thoughts on AI, tech and more. What inspired you to start creating content and how does it connect to your work at Kentico?
I keep my personal content separate from Kentico, although I’m happy to share Kentico’s AI story through my personal accounts. I started my YouTube channel after a corporate layoff. I was burned out and needed something fun to help me recover from it. It’s been an amazing creative outlet, I just wish I had more time to edit.
My blog actually came earlier. I was publishing articles on LinkedIn, but I wanted to host them somewhere under my control so I’m able to tailor the experience and have all of my content regardless of topic under one platform. I have a lot of things I don’t agree with our industry, and also a lot of interesting experiences; this is my way to express them in a constructive manner.
How do you stay up to date in such a fast-changing field?
You have to accept that you can’t keep up with everything. The space moves too fast. I focus only on what's relevant to our work. And honestly, when something big happens, multiple people in the company share it anyway. To track trends, I follow social media, especially people from top companies, developer publishers like The Pragmatic Engineer or vendors like DX that share insights. The key is filtering. Don’t fall for hype. Don’t buy tools you don’t actually need.
What’s one common misconception about AI you wish people understood?
That it replaces people. It doesn’t. AI is a force multiplier, but you still need people to guide and run the systems. The idea that “AI will replace developers” is everywhere, especially on LinkedIn, and it sets the wrong expectations for what this technology can realistically achieve. If you follow me on LinkedIn, you can regularly see me post about AI misconceptions.
The Next Chapter for AI.
What excites you most about working in the AI field right now?
Honestly? That I don’t have to do boring tasks anymore. One of the top use cases is something like “I have a bunch of data, help me analyze it.” AI handles that pain. It lets me focus on the high-value parts of my work while delegating the repetitive pieces to agents. And as a one-person team, AI also gives me someone to bounce ideas off. Even if it’s not human, at least it’s something. It’s a significant upgrade compared to my rubber duck.
Where do you see the intersection of AI and digital experience heading in the next few years?
We're seeing a big rise in advertising and commercialization of AI and that’ll likely to continue.
Search is evolving. Personal assistants are changing. But the big unknown is cost. Will it eventually become too expensive to use AI for everything? That could limit what changes actually happen.
What values do you try to embed into the AI work you lead?
It’s not an exact quote, but David Cage’s “Game overs are a failure of the game designer” really resonates with me.
When I’m working on anything really, I focus on one rule, don’t let the user fail. That mindset helps me build better experiences, and it also applies to how I use AI myself. Even fail states need to be intentional.
In your view, what role will people play in an AI-driven workplace?
We’ll still see the traditional roles, people doing manual work, but we’ll also see more orchestration and automation roles emerge. For example, DevOps transforming more into ML Ops.
Technical people will spend more time on high-value tasks, while AI takes care of repetitive ones. It’s not about replacing people but about multiplying their impact.
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