Buying AI for a campus has become hard, and not for lack of options. There are too many AI tools, they all look alike in a demo, and the decision runs through a committee with misaligned criteria and priorities. The deeper problem is that institutions often buy AI on the criteria that win a demo, rather than the ones that deliver the outcomes they actually want.

This guide is a vendor-neutral framework for choosing campus AI with confidence. It lays out the three ways campuses buy AI, the criteria that actually predict success, the questions to ask any vendor, and a scorecard your committee can score options against on the same terms.

Download the guide to:

• Cut through polished demos and overlapping feature lists and see what actually holds up

• Evaluate any option on the criteria that predict adoption, not just the ones that win a demo

• Walk into every vendor conversation with the questions that force real answers

• Get a weighted scorecard your whole buying committee can use

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