Start with Why. Not What
The First Mistake Many Companies Make
Over the past few months, I’ve been involved in numerous conversations with business leaders about AI.
The industries may be different, but the questions are remarkably similar.
What AI model should we use?
What project should we embark on?
What will generate the biggest headlines?
They’re all perfectly reasonable questions.
They’re also usually the wrong place to begin.
The Influence of Simon Sinek
Many years ago, Simon Sinek introduced the idea of Start With Why. His message was simple: organisations that understand why they exist make better decisions than those that focus only on what they do.
I think the same principle applies to AI.
Too many organisations begin with the technology.
Very few begin with the business.
When You Start With “What”
When AI discussions start with technology, the conversation quickly becomes about tools.
Should we use ChatGPT?
Should we use Gemini?
Should we build our own model?
Should we deploy an AI chatbot?
Should we automate customer service?
None of these are bad questions.
But they assume that technology is the starting point.
It isn’t.
Technology is simply one of the decisions you’ll make along the journey.
It shouldn’t define the journey.
Start With Why Instead
The first questions I encourage organisations to ask are different.
Why are we investing in AI?
Why will customers notice the difference?
Why will employees find their work more meaningful?
Why will this improve the way the business operates?
Why does this matter to the organisation five years from now?
Those questions shift the conversation.
Instead of discussing software, we’re discussing outcomes.
Instead of talking about AI, we’re talking about business.
That is where transformation begins.
AI Is a Means, Not the Destination
One of the biggest misconceptions about AI is that implementing AI is the goal.
It isn’t.
Customers don’t wake up hoping the companies they deal with have implemented the latest AI model.
They care about getting answers quickly.
They care about receiving consistent service.
They care about having a good experience.
Employees don’t come to work hoping to spend their day answering the same repetitive questions.
They want to solve problems.
They want to contribute.
They want to do meaningful work.
AI should help organisations achieve those outcomes.
If it doesn’t, then the technology itself is largely irrelevant.
The Technology Will Change
One of the reasons I encourage businesses to start with “why” is because technology changes remarkably quickly.
The AI model attracting attention today may not be the one leading the market twelve months from now.
New models will emerge.
New platforms will appear.
Capabilities will improve.
Costs will fall.
If your entire AI strategy is built around a particular technology, you’ll find yourself constantly chasing the next new thing.
However, if your strategy is built around improving customer experience, increasing organisational capacity or scaling knowledge, the technology becomes far easier to replace.
Your direction remains the same.
Only the tools evolve.
Your Why Becomes Your North Star
When organisations are clear about why they are investing in AI, decision-making becomes much simpler.
You can evaluate every proposed AI initiative by asking:
Will this improve the customer experience?
Will this help our employees create more value?
Will this strengthen the organisation?
Will this move us closer to the business we want to become?
If the answer is no, then perhaps AI isn’t the right solution for that particular problem.
And that’s perfectly acceptable.
Not every business challenge requires AI.
One of the most valuable outcomes of having a clear “why” is knowing when not to use it.
AI Transformation Begins With Business Strategy
This is why I don’t see AI as a technology project.
I see it as a business transformation initiative.
Technology enables the change.
Leadership drives the change.
People sustain the change.
The organisations that succeed over the next decade won’t necessarily be the ones using the most advanced AI.
They’ll be the ones that understand why they’re using it in the first place.
The technology will continue to evolve.
Your purpose shouldn’t.
Start with why.
The what will reveal itself.
