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.

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

Immaterial <Rs.

Low <Rs.

Med <Rs.

High <Rs.

Critical ≥High threshold

Severity filter

Period end

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.