Remediate documents at scale, answer policy questions with clause-level citations, and produce the audit trail that shows exactly what changed and why.
Compliance teams lose most of their time to finding evidence, not judging it. Neuro answers policy and control questions with the document and clause cited, repairs document libraries to WCAG 2.2 so filings survive review, and leaves an audit trail of what was asked and what was returned.
Point it at a folder of hundreds of documents and it scans, flags and fixes contrast, structure and reading-order issues without a reviewer opening each file first.
Every chart, photo and diagram across a document set gets accurate, descriptive alt text generated and applied in one pass, not one image at a time.
“Does this fall under our data-retention rule?” gets answered with the exact clause quoted, never a paraphrase that can't be checked.
When the policy library doesn't cover a question, the AI says so explicitly instead of inventing an answer that sounds plausible.
Every fix is logged, what was wrong, what changed, which standard it satisfies, exportable as evidence for an auditor or regulator.
Cross-check a new project brief or contract against the policy library and surface conflicts and retention exposure in a single question.
SharePoint
OneDrive
Drive
Microsoft 365
Teams
Outlook
Google Docs
Excel
Notion
Confluence
The annual report goes in flagged for missing alt text, low contrast, vague headings and broken reading order, and comes out scored, fixed and ready for sign-off.
Retention caps, consent clauses, access tiers: the answer arrives with the exact clause quoted, and when the sources do not cover it, it says so instead of guessing.
When the regulator asks how deletion requests are handled, Neuro pulls the retention policy, pulls the deletion log, and drafts the response with every claim traced to a clause or a record.
The annual report goes in with 41 missing alt texts, contrast failures and a broken reading order, and comes out complete, AA compliant and logically ordered, with a log entry for every fix.
When the auditor asks what changed, the answer is one request away: every fix, the rule it satisfies and the file it touched, compiled while you watch.
The whole archive is scored against WCAG 2.2, ADA and EAA in one pass, so the backlog is a number, not a fear.
Straightforward issues are fixed automatically; judgment calls are flagged to a person with the context attached.
Each fix is checked against the specific criterion it must satisfy, not a general feel of better.
Scores, logs and reports land in the audit file automatically, ready for the regulator or the board.