04/08/2026
Most organisations approach AI adoption in exactly the wrong order.
They see the urgency. They feel the pressure. And they do what feels most immediate — they book their teams onto AI awareness training.
Then six months later, nothing has fundamentally changed.
Not because the training was bad. Because training was never the right first step.
Here is what we consistently observe across organisations in the GCC:
There is no clear answer to the most basic question — what does AI adoption actually mean for us, specifically, in our context?
No AI strategy. No readiness assessment. No understanding of which processes, roles, and workflows AI will genuinely change. No governance framework for responsible adoption. No baseline measurement of where the workforce currently stands.
Just training.
And training without strategy is as ineffective in AI adoption as it is in any other capability challenge.
The organisations that will successfully navigate AI are not the ones that trained the most people the fastest.
They are the ones that asked the harder questions first.
What is our AI readiness baseline?
Which parts of our organisation are genuinely ready to adopt AI — and which are not?
What governance and responsible AI framework do we need before we scale?
What does our workforce need to build — not just awareness, but real capability?
🔹 Strategy before training.
🔹 Readiness before rollout.
🔹 Capability before tools.
That is the sequence that produces lasting results.
Where is your organisation in that sequence right now?
