Strategy

Without a strategy, AI becomes a collection of unrelated pilots. The first episode is about how to choose where to really focus your efforts.

Companies rarely start from scratch these days — they usually have five pilots running, but no one can say what they have actually delivered. In the first episode, we’ll look at how to prioritize use cases based on impact and complexity, when it makes sense to buy a ready-made solution, when to look for a partner, and when to build your own. We’ll also explain why AI isn’t just an IT topic but a company-wide one — and we’ll open the uncomfortable question of ROI: what can really be measured with AI and what are we just convincing ourselves of.

Three perspectives

• Individual – where AI delivers the highest return in my own work and where I’m just wasting time
• Team leader – how to select two or three use cases the team will actually complete
• Company – how to align AI ambitions with business goals and move beyond just presentations

What you will learn

• Criteria to evaluate a use case before you invest in it.
• A decision framework: buy / partner / build.
• A realistic view of which AI benefits can be quantified and which cannot.