Millions of GL lines. Zero sent to the AI.

The safest ledger upload is the one that never happens. Audit Scoot runs tests against the local engagement file and limits AI-assisted query generation to schema metadata and the auditor's question.

What stays local, what can transit, and why.

Audit Scoot does not rely on a vague “secure AI” promise. The boundary is defined by data class.

Journal rows, balances, amounts and master-data values
They stay inside the local engagement file and are queried on the auditor's machine.
0 rows transmitted
Column metadata, standard categories and your typed question
The AI proposes a query from schema context. The query is reviewed and executes locally against the ledger.
Bounded AI input
Licence fingerprint
Irreversible. Cannot be turned back into data.
One-way hash

The difference is the data exposed to the model context.

Data or controlDirect ledger upload to general AIAudit Scoot
Journal lines and amountsCan enter provider contextRemain local
Names and master-data valuesCan enter provider contextRemain local
Column metadataIncluded with the fileCan transit for query generation
Population testModel-dependent interpretationVersioned query executes locally
Review evidenceChat transcript or manual reconstructionParameters, query, results and versions

This comparison describes architecture and data scope. It is not a numerical claim that any product is “1,000× safer”.

01

Minimise first

Do not send transaction data when the task can be completed without it.

02

Execute read-only

Generated procedures inspect the local engagement population rather than modifying it.

03

Keep review human

Custom analyses are drafts for professional review, not autonomous audit conclusions.

04

Export the trace

Evidence remains inspectable after the test instead of disappearing into a chat response.

Questions an audit firm should ask.

Does the AI receive journal entries?
No. Journal rows, balances, amounts and master-data values stay in the local engagement file. AI-assisted query generation receives column metadata, standard categories and the operator-controlled question.
Where does the generated query run?
Locally against the engagement file. The auditor can inspect the generated procedure and remains responsible for reviewing its suitability and results.
Is Audit Scoot ISO 27001 or SOC 2 certified?
No current certification is claimed. The core risk reduction comes from data minimisation: the service does not need the ledger population to generate or execute tests.
Does this make every AI use risk-free?
No system is risk-free. Audit Scoot materially reduces exposure by removing transaction data from the AI request, bounding the remaining metadata, using read-only local execution and keeping professional review explicit.
How does this support audit documentation?
Parameters, queries, versions, timestamps and results can contribute to documentation prepared under the applicable auditing standards. Audit Scoot does not certify compliance or replace professional judgement.

Run your next audit file test without the Excel crash.

One free engagement to evaluate, valid 60 days. No client data ever leaves the laptop.

Book a demo

Cookie settings

This site sets no analytics or marketing cookies. Strictly necessary storage only: portal cookies (session, CSRF) when you log in, and browser localStorage for your currency preference.

View Cookie Policy