“I help organisations navigate their AI and innovation journey from strategy and experimentation to human-centred implementation,” Pasi says. “My focus is on turning emerging technologies into meaningful, measurable business value, while ensuring AI solutions are ethical, explainable, and empowering for both employees and customers.”
That mindset has been shaped over years of helping organisations change. Before joining Hellon, Pasi spent eight years at one of Finland’s largest insurance companies, working across roles and waves of technology, from IoT and API services to AI transformation. The common thread was always the same: driving change.
Human-centred AI is easy to say and harder to do. In practice, it means looking beyond the tools and asking tougher questions: what problem are we solving, who is affected, and what kind of change will the organisation need to make for AI to create value?
That is what draws Pasi to the field. He is not interested in AI as an isolated capability. He is interested in what happens when organisations begin to rethink how work gets done. Like many people working close to technology, he remembers the moment generative AI stopped feeling theoretical.
“When I saw ChatGPT the first time, I understood its flaws. I wanted to know how it works,” he says. “Then, when I saw the velocity of its adoption and development, I was amazed.”
What has kept him engaged since is not just the pace of progress. It is the gap between how fast the technology evolves and how slowly many organisations adapt.
“I have also seen how slowly organisations, but also the education system, have followed this,” he says. “I see it as a big challenge that I wish to help solve.”
When Pasi joined Hellon, one thing stood out immediately: the mindset.
“What made me join was the human-centric AI mindset,” he says. “The atmosphere of being welcomed with ideas and people around me seeing this as a positive challenge.”
For him, successful AI adoption is never just about the tools. It is about people, behaviours, culture, and an organisation’s willingness to change.
“What makes Hellon different is being open, not thinking tech first, but instead recognising the importance of the identity shift needed,” he says. “Recognising where different organisations really start this journey, and not pushing a tool-first mindset.”
That way of working became tangible early on. In his third week at Hellon, Pasi joined an AI hackathon where colleagues tackled challenges from different industries and built live, actionable demos in a single day.
“Bright minds at one table solving them together, all bringing their own spice to the solutions,” he says. “That felt like exactly why we do it.”
When a client says, “We need AI,” Pasi’s first instinct is not to jump into solutions. It is to understand what sits underneath the request. “First, why? What is the organisation’s maturity in discussing AI? What do we mean when we just say AI? It’s quite a broad topic. Where are they in their journey?”
That answer-first mindset matters. Many organisations start with the tool. Pasi starts with the challenge. From there, he looks at what needs solving, who is affected, what data exists, and whether AI is even the right answer in the first place.
“Let’s start looking at the best ways of solving the challenge,” he says. “Some might be AI, some agents, some agentic AI, some not AI at all.”
This is where Hellon’s point of view becomes clear: lasting AI value rarely comes from a pilot alone. It comes from choosing the right problem and supporting the change around it. Pasi is not trying to fit every problem into the latest fashionable frame. He is trying to widen the view first, so the eventual answer has a better chance of lasting.
“All levels matter,” he says. “If you lack one, the change lacks something.”
Asked to describe himself in three words, Pasi does not hesitate: “Positive, adaptive, fast.” His unofficial superpower is just as revealing: “From bigger picture to small steps and vice versa.” That ability to zoom out and in sits at the heart of his role. He is motivated by long-term transformation, but equally energised by practical progress with real people around real challenges.
That is also why he enjoys fast-paced ideation and hands-on collaboration. “I love point-and-shoot ideations,” he says. “Give us a good challenge and we’ll help you.”
Looking ahead, he is especially interested in helping organisations build AI maturity, shape roadmaps, and turn ambition into meaningful progress. Outside work, life is anchored by family, coding projects, music, humour, and time with his five-year-old son.
If Pasi himself were an AI agent, he already knows the role. “Orchestrator agent.” It fits.