AI vendor evaluation can be difficult for non technical leaders because the language is often designed to impress. Claims about accuracy, automation, intelligence, and transformation need to be translated into practical business questions.

Start by asking what problem the tool solves and what evidence supports the claim. Ask what data it uses, where that data comes from, and whether the system has been tested in contexts similar to yours.

Then ask about explainability, human oversight, privacy, security, bias testing, implementation support, and failure modes. A credible vendor should be able to answer clearly without hiding behind technical jargon.

Finally, evaluate fit. The best tool on paper may not be right for your workflows, culture, risk tolerance, or capacity. Vendor selection should be guided by strategy, governance, and people readiness, not by the most exciting demo.

Key Takeaway

The most effective AI decisions connect technology to purpose, people, governance, and measurable institutional value.