Score every shortlisted AI vendor 0–2 on ten signals, out of 20. At 7 or below the bad outcome is already written into the terms; 8–15 is fixable, but only in redline. RAND’s 2024 study of 65 experienced AI practitioners found the most common reason AI projects fail is misunderstanding or miscommunicating the problem the AI was meant to solve.
What this covers
- AI vendor selection criteria, at a glance
- How to score an AI vendor shortlist before you sign
- MAKE MORE SALES.
- Why AI vendor selection goes wrong at the boundary, not at the demo
- The 20-point AI vendor score: ten signals, and what a 0 and a 2 look like
- The Fatal Three: zeros that end it regardless of the total
This is a technical summary. The full guide — with the data, tables and worked examples — is on our site: *How to choose an AI vendor: the 10 signals that predict a bad outcome*.
LeadsNow AI builds pay-per-result AI lead generation and answer-engine-optimisation systems in Australia.
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