SysWisdom AI Quality Agent for accessibility
How the reviewed check works
The AI Quality Agent for accessibility checks a chatbot two ways, for access and for accuracy, and nothing goes in the record until a named person approves it. Automated checks plus a named reviewer. Automated checks cannot find every issue.
Three steps. A person stays in charge.
- Step 1
We check
Automated checks on the page that hosts your chatbot, a reviewer's keyboard and screen reader pass inside the chat window, and a reviewed check of answers against your official sources.
- Step 2
A person approves
A named reviewer tests by hand and writes up each finding. A person on your team approves every finding before it goes in the record.
- Step 3
You keep a dated record
You get a dated evidence report to keep on file, and you can run the check again after a vendor or model update.
The Wisdom Formula.
Three steps, used in order, turn AI output into something your organization can rely on.
Click a step below to see how each one builds wisdom.
0 of 3 active
Identify
Bring in every signal that matters. Missing context is where AI makes confident mistakes.
Evaluate
Check that outcomes are stable across inputs and that human review is in the loop.
Integrate
Back conclusions with verified facts. AI output stays untrusted until a person reviews it.
See feedback become institutional memory.
Every approval is kept, so the next check starts from what your reviewers already decided. The free automated scan shows only the automated part: it checks the page that hosts your chatbot, with no reviewer.
Run the free automated scanQuality event
- Outcome capturedAI output reviewed and logged
- Human verdict recordedReviewer approved with context
- Pattern retainedApproved rule kept for the next check
- Vault entry promotedApproval sealed and searchable in Vault