Spreadsheet limits fragment the population
Load one complete ledger and preserve the link from each exception to its source journal line.
Journal entry testing software
Turn a general ledger into audit-ready tests — without uploading it.
Audit Scoot is a Windows desktop application for audit teams. Import an Excel or CSV ledger, map its columns once, run built-in or custom analyses locally, review every exception down to the journal line, and export the evidence to the audit file.
Unlimited user accounts. Pricing is per engagement, not per seat.
Built for audit teams
- Windows desktop application
- 0 journal rows sent to AI
- Full-population testing
- Unlimited user accounts
PRODUCT WORKFLOW
From raw export to reviewable evidence.
Import a ledger, map its columns once, run the tests and drill to the journal line — the whole loop in one window, with the population never leaving the machine.
GL AnalyzerRevenue & ARTrade PayablesCompletion
CF op
+2,375
CF inv
(2,640)
FCF
(265)
CF fin
(2,000)
| Step | Amount |
|---|---|
| Net income | 3,689 |
| Non-cash | 1,345 |
| WC assets | (5,250) |
| WC liab. | 2,591 |
| CF op | 2,375 |
| Cash CapEx | (2,680) |
| Disposals | 500 |
| Deposits | (460) |
| FCF | (265) |
| Debt repaid | (2,000) |
| Gap | (155) |
| Δ Cash | (2,420) |
| Line | Amount |
|---|---|
| CF op — Cash Flow from Operations | +2,375 |
| CF inv — Cash Flow from Investing | (2,640) |
| FCF — Free Cash Flow (CF op + CF inv) | (265) |
| CF fin — Cash Flow from Financing | (2,000) |
| Cash reconciliation | (155) |
ImportMapTestReviewExport
Product screens use a fictional demo engagement.
EVIDENCE TRACE
Every result keeps its route back to the source.
The method is not hidden behind a chat answer. Auditors can inspect parameters, rerun the test and export the evidence trail.
- 01
Import the whole ledger
Open .xlsx or .csv exports without splitting the population.
- 02
Map once
Match source columns to a reusable engagement schema.
- 03
Run deterministic tests
Apply built-in or custom procedures consistently to every row.
- 04
Review to the journal line
Inspect each exception, its parameters and the underlying entry.
- 05
Export the evidence
File results, methods, versions and timestamps with the engagement.
WHY TEAMS SWITCH
Remove the tool limits, not the audit trail.
Generic AI tools require the ledger in their context
Keep transaction values local while AI receives only bounded schema context for query generation.
Specialist scripts create a team bottleneck
Give every authorised user the same catalogue, parameters, review trail and export workflow.
DEPLOYMENT
One firm subscription. No seat-count friction.
Install the Windows application for the people who perform or review testing. User accounts are included; engagement usage is the commercial unit.
DEPLOYMENT NOTE 01
Why unlimited users matters
Seniors can run tests, managers can review exceptions and quality teams can inspect evidence without sharing credentials or rationing access.
- Named user access
- Local engagement files
- Consistent catalogue and versions
ANALYSES CATALOGUE
Browse all analyses4 modules. 36 analyses on one ledger import.
Every analysis runs on the general ledger you already export — no subledger or extra client system required.
SECURITY BY DATA MINIMISATION
Millions of GL lines. Zero sent to the AI.
Directly uploading a ledger to a general AI tool can place its rows and values in the provider context. Audit Scoot keeps journal lines, balances, amounts and master-data values local. Only column metadata, standard categories and the operator-controlled prompt can transit to generate a query; that query executes locally.
Inspect the data flowJournal rows, balances, amounts and master-data values
They stay inside the local engagement file and are queried on the auditor's machine.
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.
Licence fingerprint
Irreversible. Cannot be turned back into data.
WHY NOT JUST AI?
Why not just give the ledger to Claude or another AI?
Because a chat model and an audit testing workflow solve different problems. Audit Scoot uses AI only to help formulate a test; the full population is evaluated locally by a repeatable query, with evidence that a reviewer can inspect and rerun.
- 01
Bounded data scope
Journal rows, balances, amounts and names remain local. The model receives schema context, not the ledger population.
- 02
Repeatable testing
A versioned query applies the same rule to every row and can be rerun. A chat response is not an audit procedure.
- 03
Reviewable evidence
Parameters, query, result, version and timestamp stay attached to the engagement for review and export.
- 04
Right tool, right job
AI helps translate an auditor's intent. Local computation performs the exhaustive population test.
RAW LEDGER AI COST
Model the ingestion cost yourself.
This is the estimated cost for a model to ingest the ledger. Audit Scoot does not send it; the calculator makes the architectural and cost difference concrete.
Your ledger
600,000 rows
10
Just enough to test on: date, account, amounts, IDs, description.
≈ 5
A date, an account code or an amount is roughly 3 to 6 tokens each.
× 5
One read isn't one audit — each test is another full sweep of the ledger.
What the LLM would cost
50tokens / row
30,000,000input tokens
$90.45per full read
Plain AI · 5 passes$452
Audit Scoot · same ledger< $0.01
Claude Sonnet 5 list price: $3 / 1M input, $15 / 1M output. Each procedure re-reads the ledger; a report adds ~$0.45. Audit Scoot runs the same tests locally with deterministic formulas — fractions of a cent, in seconds. Illustrative.
COMMERCIAL MODEL
Annual platform. Then pay per engagement.
Unlimited users are included. Choose on-demand usage or prepaid engagement packs. These are launch prices: firms that sign now keep the rate for the life of the subscription.
Platform from€1,500£1,290$1,690per firm / year, excl. VAT
See pricing and calculatorRun your next audit file test without the Excel crash.
One free engagement to evaluate, valid 60 days. No client data ever leaves the laptop.