Did you know that around 70% of AI implementation challenges stem from people and process issues, not technology. Progress depends on choosing what matters, what waits, and what stops.

Do you recognise your organisation:
– You have moved past the basics.
– Ideas exist. Pilots may be running.
– Progress still feels slow.
– Decisions feel hard.

This article lists 5 helps you move from experimentation to direction.

1. Stop treating every idea as equally important
Too many ideas create noise.
Not every idea deserves time or budget.
Decide which ideas matter.
Decide which should stop.
Clarity creates momentum.

2. Shift from “can we?” To “should we?”
Technical questions dominate too early.
The real question is value.
If nothing changes when an idea succeeds, it is not worth scaling.

3. Test reality early
Feasibility is often assumed.
That is where frustration starts.
Data, systems, skills, and ownership must be checked early.

4. Create a shared view between business and IT
Progress stops when priorities differ.
Alignment creates movement.
Agree on what is possible now, later, or not at all.
 
5. Decide what happens next
Momentum comes from decisions.
Not more workshops.
Decide what moves forward.
Decide what stops.
 
Around 70% of AI implementation challenges stem from people and process issues – not technology.

Want to get started?
This is the point where organisations either stall or move forward with control.
The AI Impact Lab is designed for this moment.
You leave with decisions, not more ideas.