Articles, interviews, case studies, and media appearances from Kate Russell. Practical thinking for leaders navigating AI adoption, organisational change, and the human conditions that make it work.
Media and interviews
Radio interview612 ABC Brisbane with Ellen FanningMay 2026
Kate Russell on what AI is, how to use it in everyday life, and the work of hum[ai]n
Kate joined Ellen Fanning on 612 ABC Brisbane to talk about what AI actually is, how Australian businesses can start using it practically, and why access to AI tools isn't the same as knowing how to use them well. The conversation covers real-world applications, from meeting transcription to building custom assistants that free founders from day-to-day operations, and why Australia's AI proficiency sitting at 32 out of 100 is a people problem, not a technology one. At hum[ai]n, Kate works with organisations and individuals to close that gap.
Kate Russell, Founder hum[ai]n
PodcastMind the ModelEpisode 002
Kate Russell on AI, people, and why culture is the real transformation challenge
Kate joins hosts Emmalee Crellin and Nathan Guerra on Mind the Model, the Sydney-based podcast cutting through the noise on how marketing and advertising teams are really using AI. The conversation covers why most AI adoption fails, what leaders get wrong about the people side of change, and what it takes to build an AI-ready culture from the inside out.
WebinarAI Industry Association of AustraliaDecember 2025
The AI Launchpad: What it actually takes to build and scale AI in Australia
Kate co-hosted the AI Industry Association of Australia's inaugural community webinar alongside AIIAA co-founder Stephen Hunt. Guests Jody Geddes and Alex Papley shared unfiltered insights on validating ideas, selecting tools, prompting effectively, and navigating the jump from prototype to production. A practical, grounded conversation for anyone serious about AI adoption in Australia.
Rewriting the rules: A mother's manifesto for ambition in marketing and communications
Twenty-two months away from the relentless pulse of the industry, into the uncharted chaos of motherhood. What that pause revealed about ambition, identity, and what the industry needs to change to retain the talent it keeps losing.
How Emcorp Went From Half-Set-Up Tools to a Governed AI Plan
Sector: risk, compliance and emergency to crisis management training and technology
Engagement: hum[ai]n AI Leadership and Adoption Program, full five phase hum[ai]n Compass.
Emcorp Group increases organisation resilience by assessing, training and organisations to manage risk, compliance and emergency through to crisis and continuity response. Their clients include Bolton Clarke, Bupa, JLL, Colliers, Pullman, Sheraton and more, organisations operating in environments where the cost of getting it wrong is measured in lives, livelihoods and regulatory consequence. Emcorp also builds and deploys its own technology platforms that are AI driven, including EMAction, a purpose-built incident and emergency response platform, EMCommand a crisis and continuity management platform and EMAllergy, an AI-powered allergen compliance platform for hospitality. They are not a business unfamiliar with technology. They are a business that builds it.
Like most growing businesses, they had already started using AI. But integration challenges included some of it being half set up and sitting unused, with nobody clearly owning what to keep, switch off or replace. Leadership didn’t want another tool recommendation. They wanted to know what to do with what they already had, and they wanted the whole team aligned on the answer together. Including their own increased internal IT management capability.
Before the strategy session, each leader and IT manager completed the hum[ai]n AI Readiness Profiler, a pre-session diagnostic that maps where a leadership team actually stands on AI adoption, individually and collectively. That showed not just where Emcorp stood as a business, but where leadership agreed and where they didn’t, before anyone had the chance to be talked around in the room. It meant the day itself was spent making decisions, not gathering information.
By the end of the day, Emcorp had:
A named position on where AI adoption actually stands in the business, agreed by leadership together, not assumed by whoever is loudest in the room.
A written rule for what AI is allowed to touch and what stays with a person, anchored to the reason clients trust Emcorp in the first place.
One workflow chosen to automate first, with an owner and a start date.
Four plain-language governance principles, sized to a business of Emcorp’s scale rather than borrowed from an enterprise policy template.
A plan for who does what in week one, month one and quarter one.
The clearest result of the day wasn’t a tool decision. It was leadership landing unanimously on what Emcorp’s compounding advantage actually is. In a sector built on risk, compliance and emergency to crisis management, it isn’t speed and it isn’t price. It’s trust. Every decision made that day, from which workflow to automate first to how governance was written, was tested against whether it was protected or built on that.
That is the gap most AI adoption work skips. Businesses buy tools first and sort out governance and ownership later, if at all. hum[ai]n runs it in the opposite order, working through the hum[ai]n Compass: leadership alignment, tool readiness, governance, adoption readiness and capability building, in that order, with culture threaded through every stage. At the 90-day mark, hum[ai]n returns to Emcorp to measure what actually changed, not just what was decided.
“Every governance framework I’d looked at before this felt built for a business ten times our size, all risk controls and no practicality. What hum[ai]n gave us was four rules we could actually use, sized to where Emcorp is now, not where a template assumes we should be. And it didn’t stop at governance. We walked out with the full AI path, from where we actually stand today with AI through to who owns what in week one, month one and quarter one. Most engagements give you a diagnosis but hum[ai]n gave us education, directions and a map.”
Kate Russell, Founder hum[ai]n
Articles from Kate
the hum[ai]n briefJune 2026
the hum[ai]n brief: June in review
Four frontier AI models launched in three weeks this June, and for most businesses none of it changed what happened on Monday morning. A monthly wrap on why June's real story wasn't the models themselves, but how ready organisations were to use them.
Somewhere Between Daycare Drop-Offs and Strategy Sessions
I became an AI founder somewhere between the daycare gate and a strategy session, and I am aware that I am not who most people picture when they think of someone building in this space. This is a piece about women in AI leadership, and why the question of who builds AI is not a secondary issue.
The Integration Gap: Why AI Access Is Not AI Adoption
Most organisations have invested in AI. Few are seeing consistent results. Kate Russell explains the people and culture conditions that determine whether AI investment actually sticks.
Kate Russell on the exercise that turned a room of 100 salespeople from cautious to curious in thirty minutes, and the three conditions that make AI adoption actually work.