AI Vendor Claims & Evidence Audit
Narrow first decision review, subject to written fee and scope.
Review scope →
Is the original evidence for algorithmic decision evidence review strong enough to justify the intended commercial decision?
AI buyers, vendors, risk committees and disputes teams may need to decide whether algorithmic decision evidence review assertions stand up when ai procurement, public performance claim, model release or new ai policy creates a commercial or documentary commitment.
Assigned research angle: vendor technical document. We test for missing evaluation population and deliver a documentary gap register where the source material supports it.
Standard entry scope: one named subject or bounded claim set, a defined time window, and a written list of primary-source checks. The exact sources, fees and turnaround are approved before commissioning.
Narrow first decision review, subject to written fee and scope.
Review scope →Five numbered statements and an independent contradiction register.
Review scope →Material decision evidence with the human-review record and source index.
Review scope →No AI certification, conformance assessment, penetration testing or blanket accuracy guarantee. No outcome guarantee or unlicensed professional advice. No pre-existing case study or validated buyer is implied.
Request a written fee and scopeExplore the investigative questions, source controls, contrary-evidence checks and expected written outputs. This document is an illustrative method guide, not evidence of a completed client matter.