AccessLumens

AI Disclosure

We use AI in exactly one place, and we want you to know precisely where, how, and with what data.

Last updated · June 13, 2026

Where we use AI

AI is used for a single feature: the plain-language Executive Summary at the top of a report. It is generated by a large language model (currently OpenAI’s gpt-4o-mini) that turns the scan’s statistics into a few sentences a non-specialist can act on.

Where we do not use AI

This is the important part for trusting your results:

  • The score is not AI. Issue detection runs on the deterministic axe-core engine and our keyboard checks, and the accessibility score is computed by a fixed, rule-based formula (see Methodology). The same site always produces the same score — no model randomness is involved.
  • Issue detection is not AI. Every flagged issue comes from a defined rule, not from a model’s opinion.
  • Remediation guidance is curated, not generated per request. The developer fix notes shown for each issue are written and maintained by us, mapped to the specific rule that fired — they are not produced by a language model on the fly.

What data is sent to the AI provider

For the Executive Summary we send only aggregate, non-identifying statistics about the scan: the score, inferred industry, risk level, counts of issues by severity, the most-affected component categories, and the titles of the top issues. We do not send the website’s HTML, screenshots, your contact details, or any personal data.

If no AI provider is configured, the summary falls back to a deterministic, template-based sentence generated entirely on our own servers — the Service still works without any AI call.

Data handling and training

Data sent to our AI provider is processed under that provider’s API terms. Per OpenAI’s current API policy, content submitted via the API is not used to train their models. We do not use your data to train any models of our own.

Limitations and human oversight

AI-generated text can occasionally be imprecise or omit nuance. The Executive Summary is an explanatory aid layered on top of the deterministic findings — it never changes the score or the list of issues. Always rely on the underlying findings, and verify anything material before acting on it.

Questions

Questions about our use of AI? Email support@accesslumens.com.