Results
Research Findings
KadoshAI's research and insights explore how AI is adopted in Malaysian workplaces — what works, what stalls, and how organisations build durable AI capability. Our findings shape The SHIFT and everything we teach.
Focus
Research areas
Our research centres on four connected areas that together explain how AI transformation happens.
AI readiness
What it takes for an organisation to be ready to adopt AI — and how to diagnose gaps before investing.
Workplace AI adoption
How AI is actually being used in Malaysian workplaces today — patterns, blockers and emerging practices.
AI capability building
How teams develop durable AI capability, and what distinguishes programmes that stick from those that fade.
AI transformation patterns
Common pathways organisations follow as they move from experimentation to deployed, governed AI.
Library
Resources
Dive into the whitepapers, guides, tutorials and books that carry our research and practice.
Whitepapers
In-depth research and analysis on AI adoption and transformation.
ExploreGuides
Practical guides for putting AI to work in real organisations.
ExploreTutorials
Step-by-step tutorials for building AI skills and applications.
ExploreBooks
Books on AI, capability building and workplace transformation.
ExploreInsights
Key insights
General patterns drawn from our work — not specific statistics. They guide how we design programmes.
Organisations that diagnose before prescribing achieve better outcomes — scoping beats guessing.
Building is more effective than only learning — capability sticks when it is applied to real work.
Human oversight is essential for responsible AI — autonomy must be matched to risk.
Measurement must be labelled by evidence type — not all outcomes are equally well-supported.
Shared capability outlasts individual heroics — teams that build together keep improving.
Keep learning
Explore the full learning library, or talk to us about how our research applies to your organisation.