Practical AI vendor evaluation

Make a clearer AI vendor decision

Use a bounded process to define the use case, request relevant evidence, record uncertainty, and prepare a decision that stays with accountable people.

ScopeEvidenceGapsDecision

Start with the decision

Turn a broad vendor review into a bounded record

An AI vendor review is easier to examine when it names one proposed use case, the data involved, the people affected, and the decision owner.

This site provides reusable structures for that work. It does not assess vendors, receive documents, or make approval decisions.

Walk through the assessment workflow

Resource library

Move from questions to a reviewable recommendation

01

Approval process

Assign roles, sequence review work, and define what a decision record should contain.

Read the guide
02

Due diligence checklist

Cover use case, data, model, security, legal, operational, and oversight questions.

Use the checklist
03

Security questionnaire

Ask targeted questions and connect each answer to evidence or an explicit gap.

Review the questions
04

Approval memo example

See a synthetic structure for findings, conditions, unresolved items, and ownership.

Open the example

Keep judgment visible

Evidence informs a decision. It does not own one.

Scores and labels can help organize review work, but they should not replace context, specialist input, or the accountable human’s judgment.