Before you throw AI at your business problem, take a moment to think. AI can be powerful – but only when it’s the right tool, with the right data, for the right task.
Here are 5 questions every organisation should ask before diving into an AI project:
1️⃣ What problem are we solving, and is AI the best solution?
Not everything needs AI. Could process redesign or analytics do the job better, faster, or cheaper?
2️⃣ Do we have the right data?
AI is only as good as the data you feed it. Ask: Is it clean? Representative? Accessible?
Too little or biased data = bad results, no matter how fancy the model.
3️⃣ How will we measure success?
Avoid fuzzy goals. Define your KPIs up front – whether it’s reducing cost, improving speed, or increasing accuracy. Know what “good enough” looks like before you start.
4️⃣ What are the risks, and how do we mitigate them?
Bias. Privacy. Legal compliance. Explainability. These aren’t afterthoughts – they are essentials for success… Plan for them from day one.
5️⃣ Who will actually use and maintain it?
If it’s not integrated into day-to-day workflows, it won’t stick. Think about adoption, training, and ownership early.
✅ The Bottom Line:
Smart AI starts with smart questions. Ask them early, and your project is far more likely to deliver real, lasting value.