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.

What AI Vendor Decision provides

AI Vendor Decision is a static resource library for teams documenting an AI vendor review. It helps reviewers define one use case, connect material questions to evidence, keep unresolved gaps visible, and prepare a recommendation for an accountable human decision owner.

Intended roles:
Business owners and reviewers in security, privacy, legal, procurement, compliance, risk, accessibility, finance, or AI governance.
Use it when:
A team needs a shared structure before or during the review of a proposed AI vendor and use case.
Inputs:
The proposed use, intended users, affected people, data categories, integrations, vendor materials, internal requirements, and named decision owner.
Outputs:
A bounded review scope, evidence register, findings, open gaps, conditions, follow-up owners, and a decision record.
Boundary:
These resources organize review work. They do not assess a vendor, establish compliance or security, replace specialist input, or make an approval decision.

About this resource

AI Vendor Decision publishes static informational resources for structuring an internal vendor review. The site does not receive documents, assess vendors, provide professional advice, or make approval decisions. Check each resource against your current use case, evidence, policies, contracts, and applicable requirements.

  1. Scope
  2. Evidence
  3. Gaps
  4. Decision

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.

Frequently asked questions

What is AI Vendor Decision?

AI Vendor Decision is a static collection of workflows, checklists, questions, and a synthetic memo example for structuring an internal AI vendor review.

Does this site assess or approve AI vendors?

No. The site does not receive vendor materials, conduct assessments, certify vendors, or make approval decisions. Those responsibilities stay with the organization and its accountable reviewers.

Can I submit vendor documents through this site?

No. This site has no forms, accounts, uploads, or other submission channel. Do not send confidential, personal, regulated, or vendor-sensitive material through it.