IBM's Watson beats the best human quiz champions on live TV. The first time most people saw a machine handle real language.
Google researchers publish “Attention Is All You Need”. The architecture behind every modern AI model is born.
GPT-3 shows one giant, general-purpose model can write, summarise and code. The foundation-model era begins.
100 million users in two months. AI leaves the lab and lands on every desk and phone.
GPT-4, Claude and Gemini go multimodal and far more capable. Businesses start putting them to real work.
AI shifts from answering to acting, woven into the tools and workflows we already use every day.
Claude usage in 2025 was roughly four times the global per-capita average. Kiwi businesses are leaning in faster than almost anywhere else on earth.
Most businesses have experimented with AI tools. Few have embedded them into how they actually work.
The same frontier models, in everyone's hands.
The same assistants, in every tool.
Built into the software you already use.
LLMs you can ask questions, research topics and delegate tasks to.
Takes and receives calls, listens for multilingual instructions, so your business speaks every language, 24/7.
AI that sees. From CCTV safety monitoring to Meta glasses and self-driving vehicles, the world becomes data.
Plugs into existing CCTV. Detects H&S risks in real time. Turns footage into coaching moments automatically. No extra cameras required.
Risk reduction per site
Fewer real incidents
Machine-on-plant drop
To 60% risk reduction
Individual tools. Inconsistent outputs. Knowledge trapped in whoever happens to be using AI that day. That’s AI theatre. It looks productive. It doesn’t move a metric.
A hidden prompt buried in a shopping page made the AI assistant add 500 pairs to the cart.
Voice AI hit 500+ drive-throughs, then imploded on TikTok. One customer ordered 18,000 cups of water while the bot kept upselling. They’re now “rethinking” where AI belongs.
Because standing still means you’re going backwards.
Safely connect AI to take the admin out of your daily life.
For every task, ask AI to help.
Share use cases and prompts.
What’s the job code for installing a hot water cylinder?
Hi Justin, is it a gas or electric hot water cylinder?
It’s Gas
Thanks Justin. Use Job Code #276 on your invoice for that.
Please review our safety guidelines for installing a gas water cylinder. [link]
Saved an engineering company over 1,000 hours a year.
Helped a software company see the next wave first.
Helped a graduate intern create smarter data-flows that eliminate copy-paste migrations.
Ask AI to research a topic. Read the output. Decide what to do with it. Do it yourself.
AI researches, synthesises, and delivers a briefing, presentation, sales collateral, or social post. You review. That’s it.
Stop treating AI like a search engine. Start treating it like the smartest contractor you’ve ever hired.
What you know that the model doesn't.
The judgement only you have earned.
The questions only you would ask.
AI in the loop won't set you apart. A culture that asks better questions will.
Technology adoption has always been a culture game. AI is no different. You can buy the tools. You can’t buy the mindset.
Openly asking ‘what if?’
More than a personality trait.
Learn the new operating logic.
Your AI assistant is only as smart as the context you give it. Advanced users aren’t using better AI. They’re feeding it better information.
Your expertise and judgement.
Human in the loop.
Sources and references.
Your data, tools and team in one workspace.
Guardrails and permissions, set once.
Secure, auditable, built on your data.
Your methodology, brand voice, and workflows encoded into a single shared AI environment. Connected. Governed. Improving monthly.
Empower your team to work smarter, move faster and grow, with clear guidelines, practical skills and an OS that scales their potential.