Journal Entry Testing & Fraud Analytics Excel Model is a fully editable audit analytics workbook designed to organize journal-entry testing from source population through reviewer conclusion. It is built for external audit, internal audit, forensic accounting, audit consulting, and controllership teams that need a transparent Excel workflow for management-override and journal-entry procedures.
The model starts with engagement setup, including audit period, post-close window, reporting currency, materiality levels, selected risk scenario, a repeatable sample seed, and preparer/reviewer fields. A source-system-neutral field-mapping sheet helps users align a client journal extract to the required model structure. Separate Chart of Accounts, Trial Balance, and Journal Entry Data sheets provide the core data foundation.
Population Completeness reconciles opening trial balance plus journal movement to closing trial balance and tests individual journals for debit/credit balance. Data Quality & Integrity then identifies missing IDs, missing dates, missing accounts, date-bound issues, and other reliability problems before the analytics are used.
The Journal Entry Risk Engine applies 15 visible and configurable criteria. These include manual journals, period-end entries, weekend postings, after-hours postings, weak descriptions, high-risk accounts, revenue accounts, estimate or reserve accounts, related-party or intercompany activity, round amounts, amounts just below materiality, admin or privileged users, post-close entries, repeat amounts, and rapid reversals. Each journal shows its trigger flags, risk score, High/Medium/Low band, triggered-criteria narrative, selection status, testing status, and reviewer note area.
The workbook includes additional analytics for preparers and timing, monthly journal activity, debit-credit account pairs, duplicate and reversal patterns, and Benford first-digit screening. Sample Selection automatically includes High-risk journals and applies deterministic, repeatable Medium-risk selection using the configured seed and sample interval.
The JE Testing Workpaper provides fields for evidence references, management explanations, procedures performed, results, exception types, conclusions, preparer, reviewer, review date, and status. Exceptions & Follow-Up provides ownership, opened and due dates, aging, status, resolution, and reviewer tracking.
A compact Executive Dashboard summarizes the selected scenario, materiality, population, selected sample, open exceptions, High-risk journals, manual journals, year-end/post-close flags, population balance, and selection rate. Native Excel charts display risk distribution, monthly activity, leading risk triggers, and observed versus expected Benford first-digit patterns.
Downside, Base, and Upside settings function as audit-risk sensitivity presets. Users can also edit rule weights, thresholds, enabled criteria, risk-band cut-offs, account classifications, and sampling assumptions. The model uses fictional sample data so the complete workflow is visible immediately and can then be replaced with engagement-specific data.
The delivered workbook contains 20 purpose-built worksheets, internal navigation, formula-driven release checks, professional formatting, and no macros. It is suitable for teams that want a reusable, reviewable journal-entry testing process in Excel rather than a disconnected set of filters and checklists.
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Source: Best Practices in Audit Management, Fraud Excel: Journal Entry Testing & Fraud Analytics Excel Model Excel (XLSX) Spreadsheet, PDMM Financial Models
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