Organisations are asking the same question. How do we get a return on our AI investment? The answers usually revolve around technology. Better platforms. Better models. Better governance. Better data. All of which matters. But there’s a flaw in the logic.
Most assume value comes from the technology. In reality, value comes from what people do with it.
Which leads to a simple equation:
AI ROI = Technology × Behaviour
Not technology plus behaviour. Technology multiplied by behaviour.
If behaviour is zero, your return is zero. No matter how advanced your AI capability is.
That’s why the organisations pulling ahead aren’t simply investing in AI. They’re investing in the conditions that encourage people to embrace it.
They’re investing in behaviour.
AI doesn’t have an adoption problem. It has a behavioural one.
If there’s any resistance to AI, it’s because of uncertainty.
Will it replace me? Am I allowed to use it? What if I make a mistake? How does this actually help me?
These aren’t technical questions. They’re human ones.
The default is to answer them with training programmes, governance documents and software demonstrations.
Useful? Absolutely. Sufficient? Rarely.
Because behaviour isn’t driven by information alone. It’s driven by confidence, belief and social proof.
Every organisation has a behavioural operating system
It isn’t written down, but it’s everywhere. It’s the stories people tell. The language leaders use. The behaviours that get recognised. The communities that share ideas. The rituals that bring people together. The symbols that make change feel tangible.
Collectively, these form an organisation’s behavioural operating system.
Most AI programmes focus almost exclusively on embedding new technology. Far fewer invest in upgrading the behavioural operating system that determines whether anyone actually uses it.
That’s where adoption succeeds or fails.
Culture isn’t the starting point. Behaviour is.
Leaders talk about creating an “AI culture.” But culture isn’t something you launch. It’s something that emerges. Culture is simply the accumulation of thousands of behaviours repeated every day.
If you want an AI-enabled culture, don’t start by trying to change culture. Start by making new behaviours easier than old ones.
Give people permission to experiment. Celebrate curiosity. Share success stories. Make innovation visible. Recognise participation.
Repeat those behaviours often enough and culture begins to shift almost naturally.
Brand exists to influence behaviour
Brand is often misunderstood as something that sits at the end of transformation. A communications exercise. A visual identity. A campaign. The reality is almost the opposite.
The strongest brands shape behaviour. They create shared meaning. They build belief. They give people a language they can adopt and a movement they want to be part of.
That’s exactly what’s required for successful AI adoption. Because people don’t join technology programmes. They join ideas they believe in.
Movements beat mandates
We saw this first-hand working with Insurance Australia Group (IAG), one of the Southern Hemisphere’s largest insurers.
The challenge wasn’t simply to introduce Generative AI to their 15,000 employees. It was to help thousands of people – from frontline teams to senior leaders – see AI as something they could own, shape and benefit from.
Instead of creating another technology initiative, we helped build an internal movement around AI. “Inclusive Innovation” wasn’t designed simply to communicate AI. It was designed to reshape behaviour.
A shared language. A clear identity. Stories that made possibilities tangible. An Activator network that put trusted human guides across the business. Communities where ideas could spread. Agent HQ, making innovation visible.
Each element reinforced the same message: AI wasn’t happening to employees. It was something employees were building together.
From the sidelines to the playing field
Perhaps the clearest demonstration of behavioural change came through our IAG Agent World Cup campaign. Rather than asking people to attend another training workshop, the campaign borrowed the energy of elite sport.
Teams competed to build AI agents that solved real business problems. Participation became visible. Learning became social. Experimentation became something to celebrate.
The campaign generated more than 135 new AI agents, significantly increased engagement with AI tools and helped spread ideas across teams that may never otherwise have collaborated. More importantly, it transformed AI from a technology initiative into something people actively wanted to be part of.
That’s what happens when you design for behaviour.
Behaviour creates ROI
When executives ask how to maximise AI investment, the instinct is often to buy more capability.
The bigger opportunity is to unlock more participation. Because participation creates experimentation. Experimentation creates innovation. Innovation creates measurable business value.
At IAG, Microsoft Copilot adoption increased from 23% to 61% in just six months, extensive use rose eightfold, more than 270 custom AI agents entered service, and Microsoft recognised IAG as Australia’s leading Copilot user. Those outcomes weren’t driven by technology alone. They were the result of deliberately designing the behaviours that made technology part of everyday work.
The lesson is simple.
Most organisations are now investing in artificial intelligence. Far fewer are investing in closing the AI behaviour gap.
In the years ahead, that may prove to be the more valuable investment. Because the next competitive advantage won’t come from having access to better AI. It will come from helping more people use it, more confidently, more creatively and more consistently than anyone else.
That’s the real AI ROI multiplier.
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