What does AI-native mean?
AI-native means built around AI from the start. What the term means for products, organisations and people, and the one test KAIVANT adds.
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Articles on AI, people and capability
Short reads from KAIVANT and the people around it. Open an article to read it, or download the PDF to keep or share.
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KAIVANT
Articles about KAIVANT and the thinking behind it.
The Ten Discussions Where KAIVANT Earns Its Place
A board briefing on ten AI discussions that stall because the room reads activity data while debating capability. For each one: where it gets stuck, what the room is really asking, and how a neutral reading moves the decision forward.
Bolted On, Not Built In
Why AI adoption is repeating the internet's biggest mistake. Companies that put a website on the side of an unchanged business lost out. The ones that rebuilt their foundations around the technology won.
Your AI strategy is a document. Your operating model is a mystery.
Why so many AI programmes stall after the board says yes. A strategy needs an operating model underneath it: who decides, what comes first, which rules apply, how results are measured and what happens when something fails.
Rebuilding the Foundation
Why real AI adoption goes deeper than tools, and how KAIVANT began. Adding AI on top of unchanged work is automation theatre; the organisations that get real value redesign their work around it.
The AI Capability Paradox
Is AI building your people up, or quietly wearing them down? Why a maturity score is not a plan, and what leaders can do on Monday morning instead.
The Watermelon Paradox
Green on the dashboard, red on the inside. How the way we measure people shapes the way they behave, and why this matters more than ever with AI.
Progress Is Difficult
Why our brain pushes back when something new arrives, the two traps people fall into with AI, and a third way: use AI to train your thinking, not to replace it. The first of three articles.
Stop automating what you should be deleting
A mirror, not a lecture. From the internet to cloud to AI, we pointed powerful tools at the way we already worked. Before you automate a process, ask whether it should still exist.
Related
Wider reading on AI, the brain and the way we work.
CRAFT and TEMPER: how to talk to AI so it builds your thinking
Two simple frameworks for working with AI. CRAFT helps you write one good prompt, TEMPER helps you run the whole conversation, so your own judgement stays switched on.
You have a 20-watt limit
Your whole brain runs on about 20 watts. A short visual guide to why change feels hard, and how to spend your best energy on real thinking.
AI across the project lifecycle: a practical tool guide
Which AI tools help at each step of a project, from mandate to ROI, and how to manage the flow, the data and the risk along the way.
How I work with AI
Five layers that take an idea from first spark to safe delivery: capture, portfolio governance, the architect studio, delivery governance and the repository.