Part 1: Start with yourself
Before AI changes your business, it changes your job
The first decisions you need to make about AI are not about tools. They are about the role AI should play in your business, where human judgement still matters and what you need to understand to lead it well.
Before asking your team to change how they work, start with your own leadership clarity.
Decision 1: What AI means for your business
The first question many organisations ask is: which AI tools should we use? It is understandable, but it is the wrong place to start.
Around two in three Australian small and medium businesses now use AI. Only 5% are set up to get real value from it. The tools are already in the building. The direction is not.
First, decide what role AI should play in the business:
Improving efficiency
Strengthening the customer experience
Supporting better decisions
Creating new revenue opportunities
Without a shared answer, teams experiment in different directions and AI becomes a collection of disconnected activities.
Where leaders get it wrong
Starting with tools instead of business priorities
Allowing teams to experiment without a shared direction
Measuring AI activity instead of business impact
From the seat
When I ran AI across sales, onboarding and account management as a GM with a P&L to answer for, the discipline was not adding tools. It was naming the one number AI had to move. For us it was sales efficiency. It lifted 15%, and managed account revenue grew 7% behind it. Everything that did not move that number was a distraction I could name and set aside.
Make the call
Complete this sentence: the primary role of AI in our business is to…
If your leadership team cannot agree on the answer, do not buy another AI tool until you can.
Ask yourself
Would every member of your leadership team give the same answer if asked why your organisation is investing in AI?
Decision 2: Where human judgement matters
AI can analyse information, identify patterns and make recommendations. But it does not own the consequences of a decision.
Leaders need to be clear about the difference between decisions AI can inform and decisions people must continue to own. This matters most when decisions involve:
People
Customers
Ethics
Strategy
Risk
Human oversight should not be added later. It needs to be clear before AI becomes part of how decisions are made.
Where leaders get it wrong
Assuming AI recommendations are always correct
Handing over important decisions without enough oversight
Failing to define where people remain accountable
Make the call
List three decisions in your organisation that should always require human judgement, regardless of how capable AI becomes. Discuss them with your leadership team and agree why they matter.
Ask yourself
If an AI recommendation conflicted with your experience or values, would your team know when to challenge it?
Decision 3: What you need to learn
You do not need to become an AI expert. You do need enough understanding to:
Question assumptions
Assess opportunities
Challenge recommendations
Make sound decisions
Your role is not to know more about the technology than everyone else. It is to lead how the organisation uses it. The goal is practical fluency, not chasing every new tool or development.
Where leaders get it wrong
Waiting until they feel like an expert before acting
Focusing on tools instead of leadership capability
Delegating all AI learning to technical teams
Make the call
Identify one area of AI that would help you become a more effective leader over the next 90 days. Choose one practical way to build that knowledge.
Ask yourself
What is one thing you need to understand about AI to make a better decision today, not six months from now?
Next in the series: Make AI actually pay
The tools will keep changing. The clarity you lead with is what decides whether any of them pay.
Once you are clear about how you need to lead, the next question is where AI can create measurable value for the business.
