It takes a village to train an AI

At GOODIN, we do not hire individuals to fit a mould. We build a village, where every voice matters and every perspective adds strength. Whilst AI might be the fastest learner in the room these days- it still depends on the humans around it. That’s the human layer of AI: the questions we ask, the ethics we hold, and the meanings we build around the tools and the data it is fed.

Our culture at GOODIN is built on a master–student model where roles constantly shift. Sometimes the youngest are the teachers – like Sofia Rajala and Juuso Hellberg, whose curiosity and fresh eyes cut through old patterns. Sometimes the most experienced carry the role of learner, as with Mikko Kuusela and Siru Saaristo, whose decades of experience in human connections remind us that transformation is slow, systemic, and human. In truth, we are all both masters and students – part of a circular organisation and feedback loop that keeps us all learning, unlearning, and relearning together.

Why does this matter in the coming years? Because working with AI and data is not just technical – it is societal. Data is never neutral, and AI reflects the perspectives behind it. To use it responsibly, teams must hold multiple ways of seeing the world. At GOODIN, youthful drive meets seasoned judgment, technical brilliance meets contextual wisdom, ambition meets (data) empathy.

As our BI Lead and Managing Partner Fuki often reminds us:

“Co-creation is not a method – it is a mindset. The moment people feel ownership together, technology becomes meaningful.”

His 20 + years of experience in building collaborative practices across organisations has deeply shaped GOODIN’s culture. It’s why our values – Human-centric, Deep Expertise, Openness, Empowering, Co-Creation – aren’t just words on a slide but the way we work every day with our clients.

Our mission is simple and practical: we help organisations become more capable by bringing them both cutting-edge technologies and the understanding to use them well. We build data-driven, AI-ready, human-centric organisations through co-creation and data empathy – so that every decision can be smart, ethical, and impactful.

That combination is what makes our “village” resilient: fresh thinking not yet hardened by convention, guided by experience that knows change takes time. And naturally, as humans, we will fail. We won’t always live up to our vision. But what matters is the aim; showing up, trying your best, and then trying again, and again.

Recruitment and talent management, therefore, is not about filling seats. It is about building the right circle – of people willing to contribute proactively, take responsibility, and bring value to the common aim.

And in the age of AI, we believe the village wins.