From three exports to an audit-grade analytics report in 90 seconds.
A forensic-grade three-way match engine performing risk-tiered exception analysis, fuzzy duplicate detection, vendor risk scoring, Benford and round-number forensics, cut-off sequence analysis, and auto-drafted audit opinion with recommended controls. Output suitable for Big 4 working paper, internal audit committee deliverable, or continuous controls monitoring dashboards.
Source Documents
Step 01 / 03
A · PURCHASE ORDER
PO Register
Vendor, item, ordered qty, agreed rate, PO date.
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Drop Excel or CSV
.xlsx · .xls · .csv
Remove file
B · GOODS RECEIPT
GRN Register
Linked PO, item, qty received, GRN date.
+
Drop Excel or CSV
.xlsx · .xls · .csv
Remove file
C · VENDOR INVOICE
Invoice Register
Invoice no., linked PO, billed qty, rate, date.
+
Drop Excel or CSV
.xlsx · .xls · .csv
Remove file
D · PAYMENT REGISTER · OPTIONAL
Payment Register
Payment ID, linked invoice, amount, paid date, approval.
+
Drop Excel or CSV
.xlsx · .xls · .csv
Remove file
Materiality Framework
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High threshold
Column Mapping
Step 02 / 03
How this works
Columns marked with red asterisk are mandatory. Unmapped optional fields (vendor, item, vendor code, item category, posting date) degrade granularity but the engine adapts automatically. Headers auto-detected against 70+ aliases across Tally, SAP, Oracle, and custom ERPs.
Audit Findings
Step 03 / 03