5 Questions To Ask Before Buying Any AI Tool
5 questions to ask before you onboard that tool and tell your team about it
An AI tool lands in your inbox. The demo is slick. The sales deck is full of case studies. Everyone on the call is nodding.
Before you sign anything, these are five questions worth asking first.
What specific problem does this solve and can I name it in one sentence?
The most common misstep is starting with the technology instead of the business objective. If you cannot articulate the exact problem this tool addresses before the demo, you are buying on excitement. Excitement does not show up in your ROI.
Where does our data go and who owns it?
This question makes vendors uncomfortable. Ask it anyway. Ask what data the tool collects, where it is stored, whether your data is used to train their models, and what happens to it when your contract ends. If the contract uses ambiguous language about data ownership or training rights, slow down. Ambiguity here is always expensive later.
How will our team actually use this and who is going to train them?
88% of HR leaders say their organisations have not realised significant business value from AI tools. The tool is rarely the problem. The gap between deployment and adoption is. If your implementation plan does not include structured training and a named person responsible for embedding the tool into daily workflows, you are setting up for shelfware.
What does success look like at 30, 60, and 90 days?
Not vague success. Specific, measurable success. If the vendor cannot help you define what the tool should demonstrably change within 90 days, that is a red flag about how well they understand their own product.
What happens when it gets it wrong?
Because it will. AI tools hallucinate. They produce confident outputs that are occasionally wrong. The question is not whether that will happen, it is whether your organisation has a human review process in place for high-stakes decisions, and whether the vendor is transparent about where their tool's limits are.
The organisations getting real value from AI are not the ones who moved fastest. They are the ones who asked better questions before they moved at all.