Malaysia's AI Shift,
Written Into the Record
KadoshAI trained the first 1,000+ white-collar employees to stop using AI and start building with it. Two books, a podcast and a newspaper — every chart drawn from real assessment data. Read it. Hear it. Then take it with you.
We Trained
Graph Engineering
SIDE OF
THE SHIFT
DNA before you train it
Two books that prove the shift
One measures the skill. One reads the human. Review each overview below — then scroll to register and download.
Through Graph Engineering
Malaysia's AI Shift
The flagship evidence book. More than 1,000 executives, managers, directors and CEOs — from 147 companies across 18 industries — walked in as AI users and walked out as AI builders. Every number comes from real assessment records: proficiency tests, pain-point inventories and post-evaluations, deduplicated so nobody is counted twice.
Before every class, every cohort rated their own AI skill at just 2.8/5 — directors and CEOs included. If their answers sound like yours, the book was written for you.
The 12-day build sprint, seat by seat — each person left with a working use case and a deadline, including the payroll executive who scored 94.
Matched, measured before-and-after scores — the peak cohort moved 37% → 93% in a single day (+56.7pp).
Real work products, not demos — TalentVault, payment-status updaters, stock-take apps, contract-renewal trackers and ITSM-aware triage agents.
One method, many departments, five countries — the archive grew from 82 to 1,375 records, half-year by half-year.
Seven questions for your Monday meeting, the KadoshAI stack, and how to bring the shift to your own team.
The Human Side of the Shift
Book One measured the skill. This one reads the human. Drawn from KadoshAI's ELEVATE assessment records across six countries and two years, it names the behaviours that shift, the ones that stall, and why profiling the human is the reason the results repeat. "I'm not a tech person" is not a skill gap — it is a feeling, and belief governs whether an adult ever learns a new technology at all.
Meet the cast — the Observer, the Deflector, the Silent Achiever, the Clarifier and the Amplifier — and watch what changes when they start to build.
The three AI personalities and two layers of profiling: the fixed capability a person brings in, and the live emotional weather that decides if it is ever expressed.
Before & after, in their own words — plus what the world says. Your people are further along than their leaders think (13% vs 4% guessed).
The one question that decides it, and why — before the skill — comes the human.
SIDE OF
THE SHIFT
DNA before you train it
Watch beginners become builders
Every cohort walks in unsure and walks out capable. This is not a claim — it is matched, measured proof.
How non-tech employees build AI apps
A 90-second listen on the idea behind the books — why the people who said "I am not a tech person" ended up shipping working apps in days, not years. Press play, no sign-up needed.
The newspaper release
A special report on the record — as it ran in print.
1,000+ trained. And we can prove it.
Growth of the assessment archive, half-year by half-year. The 1,000 mark was crossed in early 2026 — the archive now holds records beyond it.
One method. Different departments. Real output.
Hover a department to see the pain it started with — and what the team built.
Which of the five people are you?
Every class has the same five. Pick the one that sounds most like you at the start of a new tool.
Written by the people who ran the room
Bridging logic and performance — the partnership behind KadoshAI.
Register once. Get both books by email.
Enter your email and we'll send both KadoshAI books straight to your inbox — free.
Unlock the full record
- ✓ Book One + Book Two — the flagship & the companion
- ✓ Every chart drawn from real assessment data
- ✓ The Graph Engineering method, in full
- ✓ What 1,000+ people actually built, department by department