# AI for Compliance and Risk Teams | GreenArrow > AI for compliance teams: accessible documents, evidence that is actually findable, policy answers with citations, and audit trails that survive an inspection. Source: https://greenarrow.app/departments/compliance/ Last updated: 2026-09-04 Publisher: Green Arrow Consultancy Ltd, Cardiff, Wales, United Kingdom --- Departments · Compliance # Accessible, compliant, provable Remediate documents at scale, answer policy questions with clause-level citations, and produce the audit trail that shows exactly what changed and why. Try the accessibility demo → Get in touch Quick answer 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. Use cases ## What compliance teams run on Neuro ### Remediate WCAG 2.2, ADA and EAA gaps at scale 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. Document Accessibility Live demo → ### Write alt text for whole image libraries 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. Document Accessibility Live demo → ### Answer policy questions with clause-level citations “Does this fall under our data-retention rule?” gets answered with the exact clause quoted, never a paraphrase that can't be checked. Neuro Search Live demo → ### Say “not in the sources” instead of guessing When the policy library doesn't cover a question, the AI says so explicitly instead of inventing an answer that sounds plausible. Neuro Search Live demo → ### Produce an audit-ready remediation report per file Every fix is logged, what was wrong, what changed, which standard it satisfies, exportable as evidence for an auditor or regulator. Document Accessibility Live demo → ### Catch conflicts and retention issues in one ask Cross-check a new project brief or contract against the policy library and surface conflicts and retention exposure in a single question. Neuro Search Live demo → The full map ## Everything Neuro does for compliance ### Use cases Documents WCAG audits Alt text at scale Remediation reports Reading-order repair Contrast fixes Table tagging Policy Clause-cited answers Honest not-in-sources Retention checks Conflict detection Exception tracking Consent reviews Governance Access-tier enforcement Declined-request logs Evidence exports Scope-change alerts ### AI for compliance Neuro modules Document Accessibility Neuro Search Knowledge Miner Capabilities Clause citations Permission-aware answers Batch remediation Before/after scoring Audit logging Human-review flags Standards WCAG 2.2 AA ADA Section 508 EN 301 549 EAA PDF/UA ### Connects with Files & collaboration SharePoint OneDrive Drive Microsoft 365 Teams Outlook Documents & records Google Docs Excel Notion Confluence Your systems Policy library Records archive Access directory + Any custom module How it lands ## Five things compliance stops doing by hand Score, not a guess ### Every audit ends with a number and a fix list 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. - Every issue tagged to its WCAG 2.2 success criterion - Before and after score, ready for the audit file Clause or nothing ### Ask the policy library before you sign anything 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. - Every answer cites the clause it came from - Permission-aware: restricted records stay restricted Evidence, not memory ### Regulator letters drafted from the actual evidence 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. - Every statement in the draft cites its policy clause - Volumes come from the deletion log, not recollection One file, one pass ### The before and after of a single file, side by side 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. - Same file, one remediation pass, no rework queue - Every fix logged, so the after is defensible Proof, packaged ### The evidence file builds itself 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. - Per-file remediation logs, standard by standard - Declined-access requests logged like badge swipes The path ## From backlog to sign-off in four moves STEP 01 ### Scan everything The whole archive is scored against WCAG 2.2, ADA and EAA in one pass, so the backlog is a number, not a fear. STEP 02 ### Fix in batches Straightforward issues are fixed automatically; judgment calls are flagged to a person with the context attached. STEP 03 ### Verify against the rule Each fix is checked against the specific criterion it must satisfy, not a general feel of better. STEP 04 ### File the evidence Scores, logs and reports land in the audit file automatically, ready for the regulator or the board. Watch it work ## Three compliance moments, handled Batch remediation Policy check Access denied, properly The stack ## The tools this team uses ### Document Accessibility WCAG/ADA/EAA remediation at scale, with an audit trail. Tool page → ### Neuro Search Cited answers over the policy library, or an honest no. Tool page → ### Knowledge Miner Compliance posture rolled up into a reportable narrative. Tool page → ## See it on your document backlog The demos run on seven fictional companies. In production, Neuro runs on your policy library, your document store and your permission model. 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