Strategy

Companies rarely start from scratch these days — they usually have five pilots running, none of which anyone can say what they 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 issue — and we’ll open the uncomfortable question of ROI: what can really be measured with AI and what we’re 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 pick two or three use cases the team will actually complete
• Company – how to connect AI ambitions with business goals and avoid staying at the presentation stage

What will you learn?

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