Week 1
What AI actually is (and what it isn’t)
Decision
Do I have a clear enough view of AI to make decisions about it?
Context
AI is being discussed across every industry, often in broad and abstract terms. Inside organisations, this leads to scattered initiatives, unclear expectations, and conversations that don’t translate into action.
In practice, AI is not a general capability. It is useful in specific types of problems, and irrelevant in many others.
Without that clarity, it becomes difficult to assess proposals, prioritise efforts, or even have productive internal discussions.
Focus
This week is about establishing a clear boundary:
- Where AI is relevant in your business
- Where it is not
- Where it is currently misunderstood or overstated
- How it differs from automation and analytics
Outcome
A clear, defensible view on what AI is relevant for – and what it is not
Learn
This week’s lectures
Video 1 - What AI actually is (in practice)
Understand AI as a set of capabilities, not a category of tools.
Video 2 - AI vs Automation vs Analytics
Clarify the differences so decisions don’t get blurred.
Video 3 - Where AI is overstated
Recognise common misapplications and inflated expectations.
Video 4 - Why AI is becoming broadly accessible now
Understand the shift in data, compute, and tooling.
Apply
Take a position on AI in your business
This week is not about identifying use cases.
It is about removing ambiguity in how you think about AI.
Your task
Write a short internal position note (approx. 1 page) addressing:
- What types of problems AI is actually suited to
- What types of problems it is not suited to
- Where AI is currently misunderstood or overstated (in your industry or context)
- How AI differs from automation and analytics in practical terms
Keep it grounded, not theoretical.
You are not expected to be “right.”
You are expected to be clear.
Output
A 1-page internal note clarifying how AI should be understood and evaluated
Discuss
Where AI conversations lose clarity
Where do AI discussions in your organisation lose clarity — and why?
- Too focused on tools?
- Too abstract?
- Too optimistic?
- Too disconnected from operations?
Share one example or observation.
Optional reading
Link 1
Link 2
Resource 3
Checklist
- Watch all videos
- Draft your position note
- Refine based on your reflection
- Capture your final version
Quick Actions
- Resume videos
- Go to Project
Navigation
- Program Journey
- Week 2 (locked)
Coaching Note
AI tends to sound obvious when discussed in general terms.
The difficulty starts when you try to apply it to your own business.
If your thinking still feels broad or generic, you’re not there yet.
Push yourself to be specific, especially on where AI does not apply.
