Built by someone who has done the work. Working alongside people who have led organisations through real change. And one belief at the centre of everything: AI works when people do.
I stepped away from my career for two years to focus on becoming a mother. When I came back, AI had changed everything. Most of the leaders I spoke to were either overwhelmed by it or overconfident about it. Very few felt genuinely prepared. That gap is what I work in now.
With 18 years across marketing, PR, sales and people and culture, including lululemon, the Australian Fashion Council, and leading marketing agencies, I've seen transformation succeed and fail. I understand how departments actually work and where AI can genuinely fit into each of them. That breadth matters. It means I do not arrive with a generic framework. I arrive with an understanding of the pressures, the workflows, and the human dynamics that are different in every function. Whether an organisation is working out where to start with AI or accelerating adoption in a team that already has governance and tools in place, the challenge is always the same. The difference between AI adoption that sticks and AI adoption that does not is rarely the technology. It is always the people.
As Founder of hum[ai]n, and previously CMO and then CEO of The Square Wave, I built this practice around a simple belief: AI adoption is a leadership and culture challenge, not an IT project.
If that is the conversation you are trying to have in your organisation, hum[ai]n is built for it.
“I was very deliberate about the kind of AI expert I wanted in the room. My clients are senior hospitality professionals, not tech people, and I needed someone who could meet them where they were. That search led me to Kate. She delivered a genuinely engaging, practically grounded session that had a room full of commercially sharp, experienced professionals leaning in. She read the room beautifully, made complex ideas feel immediately accessible, and left people feeling excited rather than overwhelmed. If you are looking for someone to help your organisation navigate AI in a way that actually brings people with it, Kate Russell is the person I would call.”
Mark built Australia's first online wrap platform from concept to acquisition by a major bank. As co-founder of Avanteos and now Chief Operating Officer of DASH, he has spent his career replacing what does not work with what actually does. That experience shapes how he thinks about AI too, not just how organisations select and evaluate the right tools, but the governance that has to sit underneath them. Mark is also a Founding Member of the AI Industry Association of Australia, where his focus is on how AI governance intersects with financial services infrastructure.
70% of AI and digital transformations fail because of cultural misalignment, not technical problems. Organisations rush toward AI without bringing their people along. Confidence varies, standards are unclear, and teams experiment in isolation. The result is inconsistency, risk, and a lot of wasted investment.
hum[ai]n was founded because the same pattern kept repeating. Organisations that had invested in tools but not in the human conditions that make those tools work. Technology should enhance human potential, not create new ways for people to feel left behind.
hum[ai]n exists to make sure that does not happen. We are tool agnostic, which means we work with whatever your organisation already uses or is considering. Our focus is always on the people and the conditions around the tools, because that is where the real work is.
Kate is a founding force behind the AI Industry Association of Australia, a not-for-profit community built to connect practitioners, leaders, and educators across the country.
The association exists to ensure Australia's AI future is shaped with trust, inclusion, and accountability at its centre. Not as an afterthought, but as the foundation.
Find out more →A short conversation is enough to work out whether we are the right fit and what would make the most sense for your organisation.
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