AI is dominating the conversation across industries, yet for many organizations the gap between awareness and real adoption continues to grow. At Kobie, we’ve focused on closing that gap — not just by embracing AI, but by cultivating a culture where our people understand its value and integrate it into their day-to-day work.
Here’s what we’ve learned from navigating that balance.
What is AI culturalization and why does it matter?
AI culturalization is the intentional work of helping people understand, trust, and use AI in ways that make their work better. It’s not a training program. It’s not a mandate. It’s a mindset shift that has to be modeled, nurtured, and reinforced at every level.
We’ve reached a place where 90% of Kobie teammates report feeling comfortable using and experimenting with AI — a reflection of the intentionality behind our adoption strategy.
Influencing AI adoption across functions
Getting people to genuinely lean into AI means meeting them where they are. For us, that’s looked like:
- A regular AI newsletter that normalizes the conversation and keeps teammates informed without overwhelming them
- AI focused Office Hours where our questions can be asked and answered in a low-pressure setting
- A centralized resource hub that makes it easy to find tools, guides, and examples without friction
- Real teammate stories that demonstrate how AI is being used to save time, remove bottlenecks, and free up capacity for more meaningful work
The goal is to make AI feel accessible. When teammates see their peers solving real problems with AI, the conversation shifts from “should I use this?” to “how can I use this?”
Critically, we also believe that experimenting with AI in-role, as part of the actual work, is essential. That’s how adoption becomes durable, and how teammates build the adaptability that will serve them, and the business through every market shift ahead.
A culture of curiosity and experimentation
One of our strongest assets in this work is a culture built on inclusion principles. Diversity of thought, curiosity, and accessibility are values we hold, and double as the tools we use.
When you bring diverse perspectives into AI conversations, you surface blind spots earlier. When you prioritize accessibility, you ensure that AI tools work for everyone, not just the most tech-forward teammates. When you lead with curiosity rather than fear, you create the psychological safety people need to experiment and grow.
This shows up in how we facilitate conversations, how we design training, and how we measure success. Inclusion makes AI adoption more equitable and more effective.
At Kobie, curiosity isn’t just a personality trait we admire, it’s a value we’ve intentionally built into how we work. That means creating an environment where teammates feel empowered to try new things, test ideas, and yes, fail fast. We believe that experimentation is how learning actually happens, and that the organizations who will lead in the AI era are the ones who’ve normalized the attempt, not just the win. When a teammate tries an AI-powered workflow that doesn’t pan out, that’s not a misstep. That’s the job. We’ve worked hard to create a culture that makes this kind of exploration possible, because without it, curiosity stays theoretical. With it, it becomes a competitive advantage.
Governance, ethics, and the human in the loop
AI culturalization isn’t just about enthusiasm, but about responsibility. That means being clear about our commitment to data security, privacy, and ethical use – and building those principles into how we work, not treating them as an afterthought. As adoption expands across the organization, it must happen within a controlled environment that empowers teams to experiment and innovate while operating within clear guardrails that protect our company and our clients.
At Kobie, a human-in-the-loop approach is non-negotiable. AI augments judgment, it doesn’t replace it. That conviction builds trust internally and externally, and it ensures that as we move fast, we move thoughtfully.
The bottom line
AI culturalization isn’t a one and done practice, it’s an ongoing workstream. The organizations that will get the most from AI aren’t necessarily the ones with the biggest technology budgets, they’re the ones who’ve done the work to bring their people along.
If your organization is thinking about where to start, the answer is probably simpler than you think: start with your people, meet them where they are, and build the kind of culture where new ways of working feel like opportunity.
For brands that feel behind, the good news is that culturalization can start now. The key is putting the right ecosystem in place to support adoption – something we regularly help organizations design and activate.
We’ve created a culture where AI experimentation is encouraged and learning happens in the flow of work. It’s something many organizations are still trying to figure out and something we’re proud to be building on every day.
Contact us to learn more.
