The 12 evidence gaps that create unnecessary friction in enterprise AI sales
A field guide to claims, retention, training-use language, model providers, testing, change control and buyer answerability.
No content farm. This section is for material that helps AI vendors understand what a buyer can verify and where evidence tends to break.
Twelve buyer-facing proof tests for the interim evidence period, plus an offline CSV/JSON evidence register. Evidence continuity is not a substitute for a Type II examination.
Open the evidence bridge kit →Twelve evidence-readiness questions with no vanity score and no data submission. Find the claims most likely to collapse under buyer follow-up.
Run the stress test →A practical pre-submission contradiction review for AI vendors: claim → evidence → contradiction test → status, across eight procurement domains.
Open the checklist →A field guide to claims, retention, training-use language, model providers, testing, change control and buyer answerability.
How to move from written assurances to a maintainable claim-to-evidence system without pretending every question has a binary answer.
Research requests related to AI product evidence can be sent to research@unitoolx.com.