Risk Scoring
Visualize the shape of the entire risk-scored population at once.
- General ledger alone
- Compares with last year
- Key analysis in Journal entries
How the result is read
The shape is a property of the scoring model as much as of the ledger, so there is no ideal silhouette — the reference is the same model on the prior year or a comparable entity, and what is read is the change. Two humps usually mean two populations mixed together. The entries behind the tail support a finding; the shape only says where to look.
The worksheet, on the demo engagement
Risk Scoring, as the application draws it for Harrow Precision Engineering Ltd, the fictional demo engagement — one row per score bin.
Bands are the buckets the scoring defines; the height is how many entries landed in each.
- Low 0-32
- 39,222 · 94.9%
- Med 33-66
- 1,902 · 4.6%
- High 67-100
- 214 · 0.5%
Continuous 0-100 score over 100% of the population (ISA 240).
Result grid3 rows
| journal_id | score | band | top contributors |
|---|---|---|---|
| JV-44120 | 94 | HIGH | self-approved · suspense · period-end · keyword |
| JV-43880 | 88 | HIGH | round · period-end · rare flow · plug |
| AP-90233 | 7 | LOW | (none material) |
In the application
Risk Scoring is filed under Journal entries, index letter B. "Run all analyses" runs it with every other analysis the ledger can answer. The worksheet states the population it tested on its face — or "Not applicable" with the reason when a column it depends on is empty — and the Excel workbook the engagement exports files it under B, beside an index of the source files with their SHA-256 fingerprints.
Read it with
Run your next audit file test without the Excel crash.
One free engagement to evaluate, valid 60 days. The ledger never leaves the machine.
- 20 minutes
- Runs on a fictional engagement
- No client data required