# Verification levels

Fictional example: the marketing team at Lumen, an invented software company.

Agree which outputs get a glance, which get spot checks and which get full verification, so everyone checks in proportion.

## Output

Name a kind of output the team produces with AI.

Customer case study for the website.

## Level

Choose a glance, spot checks or full verification.

Full verification.

## What to check

List the checks this output needs.

Every quote approved by the customer in writing, every figure traced to the customer’s data, and product claims checked with product marketing.

## Who checks

Say who does the check, and who is the second reader if one is needed.

The author, then the content lead.

## What we keep

Say what evidence of the check you keep, and where.

The customer’s written approval and the source data, in the case study folder.

## Review

Owner: 
Agreed by: 
Date agreed: 
Next review: 

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From The RUAI Standard (2026 edition), developed by Founderz in collaboration with Microsoft. https://responsibleai.founderz.com/toolkit/team-tools/verification-levels
Licensed under CC BY 4.0: https://creativecommons.org/licenses/by/4.0/