BUILT AND PUBLISHED BY SYNDESI
Better questions.
Better decisions about AI.
AI Audit is a free tool and reference library owned and published by Syndesi. It helps established businesses make sense of their AI tools, responsibilities, and next steps.
Who is Syndesi?
Syndesi is an AI venture studio based in the Chicago suburbs. Peter and Angie Belanger work with business owners to build AI visibility and automation systems. AI Audit is one of Syndesi’s own resources.
Meet Peter and Angie at Syndesi or explore Syndesi’s AI Governance & Readiness work.
What you can use here
- The AI Exposure Check: ten questions about the practices you report having in place.
- A blank AI inventory template to keep in your own workspace.
- An AI inventory guide with practical examples and links to source material.
- A published methodology that explains how answers become findings and starting actions.
The check, guide, and template are free. You do not need an account or an email address. Your questionnaire answers stay in your browser.
How this supports Syndesi
This site introduces people to Syndesi’s work. You can choose to request a paid AI Risk and Readiness Review or discuss a system build. Any paid work has a separate scope and agreement.
AI Audit is a Syndesi publication, not an independent endorsement of Syndesi. The free materials are useful on their own. A sensible next step may be to improve a record, clarify a responsibility, or defer buying a new tool.
How to read and cite our material
Guides distinguish practical recommendations from external source material. Examples are labeled as illustrative. The methodology publishes the questionnaire and rule versions; guides carry their own update date.
When referencing a guide, name Syndesi as the publisher and link to the specific page. For this website, use AI Audit by Syndesi. Our material does not certify a business or replace a review of its actual systems.
To report an error, email hello@syndesi.io with the page address and the correction you suggest. Do not send confidential assessment data.
