Vouch reads provider documents, maps them to the standard in scope, and vouches for every claim with the source sentence, page, and document hash behind it.
1All security incident logs shall be retained for no less than three years from the date the incident is formally closed.
2Where incident artifacts include personally identifiable information or financial transaction data, the retention period extends to seven years to align with SOX 802.
3Logs are stored in immutable cold storage with access restricted to Compliance and SecOps groups.
What is the documented retention period for security incident logs?
Per the Information Security Policy v4.2, security incident logs are retained for a minimum of three years from incident closure1. The Incident Response Runbook extends this to seven years for logs containing PII or financial data2. Logs are held in immutable cold storage3.
Vouch is a pipeline, not a chatbot. Each stage produces an artefact your team can inspect, edit, and sign off on. Nothing happens off the record.
PDFs, scanned reports, spreadsheets, Word manuals. Tables, footnotes, and headers survive parsing. Each document is hashed on arrival so you can prove what was read.
Every provider statement is matched to the framework's clauses with a confidence score. Misalignments and silent gaps are surfaced before they become findings.
Crew duty time recorded in Flight Ops 4.2.
FDM data retained 24 months.
SMS reviewed quarterly by accountable manager.
BARS 5.3.1: Flight & Duty Time
BARS 6.1.4: FDM Retention
BARS 3.2.1: SMS Governance
No paragraph-level hand waving. Each claim carries the source sentence, page number, paragraph index, and document hash, the evidence Vouch is staking the answer on.
7The accountable manager shall review safety performance indicators no less than quarterly and document any deviations from the safety policy.
Ingestion, mapping, citation, and reviewer decisions are logged with timestamps and identities. Vouch doesn't replace your workpapers; it produces them, signed by the engine.
Reading regulated documents is judgment work. Vouch carries the evidence-mapping load so the people whose name is on the file can spend their hours on the part judgment is for.
No claim ships without the source sentence behind it. If the engine cannot cite, the engine does not answer; it tells you so.
The engine proposes mappings and conclusions. The reviewer accepts, edits, or rejects. Calibration learned over time stays inside your team.
Pin the exact version of the standard in scope. When the framework updates, you choose when to re-run, with diffs to review.
Deploy inside your tenant. Documents and citations stay where you and the document's owner already agreed they should sit.
Reduction in compliance preparation effort per BARS engagement, from three to five days of manual document review down to hours.
An auditor had marked an operator non compliant on a safety equipment requirement because the operations manual was silent on it. The engine located the relevant policy in an addendum to a separate document, under a clause for specific mission conditions. The operator was compliant; the evidence sat where no human reviewer would have thought to look first.
The platform gives our auditors the ability to focus on judgement and expertise, rather than manual reviews, and it is already surfacing compliance findings in testing that experienced reviewers had missed.
Amin, Managing Director, Avlaw Aviation Consulting
Wherever trust depends on knowing exactly where a claim came from, whether it is an audit finding, a procedural answer, or an inspection conclusion, the same reading pipeline applies. The output layer changes; the citations do not.
Pre audit evidence packs, mapped against the framework in scope, every claim cited at the sentence. Vouch for BARS aviation today; the same engine adapts to SOC 2, ISO 27001, HIPAA, GxP, and anywhere "show your working" is the job.
A search bar over your local manuals, procedures, and policy. Plain language questions; answers with citations back to the exact page and paragraph. For teams where cloud search products are not on the table.
Inspections, incident reviews, due diligence rooms, regulatory submissions: any workflow where reviewers read a stack of documents against a rubric and every conclusion traces to source.
Vouch is a document-reading engine for regulated work. It ingests provider documents, maps them to the standard in scope, and answers questions about them, backing every claim with the source sentence, page, paragraph, and document hash it relied on. It is built by IntuneAI in Sydney, Australia.
Every claim carries a sentence-level citation: the exact source sentence, page number, paragraph index, and a hash of the document it came from. There is no paragraph-level hand-waving. If the engine cannot cite a source for a claim, it does not make the claim. It tells you so instead.
Vouch is in production for BARS aviation audits today, and the same engine adapts to SOC 2, ISO 27001, HIPAA, GxP, operations manuals, and internal policy. Anywhere the job is to show your working against a standard, you can pin the exact framework version in scope.
PDFs, scanned reports, spreadsheets, and Word manuals. Tables, footnotes, and headers survive parsing, and each document is hashed on arrival so you can prove exactly what was read.
No. Vouch is a second set of well-read eyes, not a replacement. It carries the evidence-mapping load and proposes mappings and conclusions; the reviewer accepts, edits, or flags each one. The judgment, and the name on the file, stays with your team.
Vouch deploys inside your tenant. Documents and citations stay where you and the document's owner already agreed they should sit. Nothing leaves your data room.
Avlaw Aviation cut BARS pre-audit preparation from three-to-five days of manual document review down to hours (about an 85% reduction) across 70+ audits. In testing it also surfaced a compliance finding that experienced reviewers had missed.
Vouch has been tested across English, Indonesian, and Spanish documents over 10+ past audits.
Thirty minutes. Drop in a real BARS pack, watch every claim resolve to a source sentence, and ask the hard questions about using AI in work where someone has to stake their name.