Enterprise AI Education

Editorial policy and corrections

How source quality, AI assistance, human review, corrections, and education boundaries shape this site.

Reviewed 2026-07-27.

Source-led, transparent, and cautious about claims

Enterprise AI Education is informational research, not professional advice. Pages show their review date and link to evidence. Product comparisons must state intended use, market, evidence date, limitations, and why a reader might choose an option.

AI-assisted publishing

AI may help discover sources and prepare research proposals. A human editor must verify public copy, sources, scores, market claims, and product scope before publication. The weekly GitHub workflow cannot publish directly to the main branch.

Who is responsible

Douglas Ross is the Publisher and platform editor. Responsible for the site's editorial process and platform operations; not an educator, regulator, lawyer, or student-data protection officer.

Independent education-domain reviewer is Required before publication. No jurisdiction-specific education reviewer is claimed for this release. Education, safeguarding, accessibility, procurement, and privacy review remain publication gates.

Usage measurement

We use Microsoft Clarity to understand how visitors use these public research pages. Clarity is configured with its default masking, and this site does not ask visitors to submit sensitive information.

Corrections

Material changes in regulation, product availability, evidence, or security can trigger an earlier correction. A correction should preserve enough dated context for a reader to understand what changed and why. Contact research@enterpriseaigroup.com.

Please do not send student records, child data, assessment answers, or other personal information. The site does not replace institutional policy or professional advice.

Keep the useful part

Tell us what education decision is next.

Send the teaching, learning, student-support, research, or institutional workflow you are assessing. We will use it to shape the next practical buyer brief.

Useful detail: include the market, workflow, or category behind an editorial correction.

Please do not send student records, child data, assessment answers, or other personal information.