QavorynRevenue Intelligence
How it works

A diagnostic workflow your finance team can follow.

Qavoryn is designed for analyst-led review: validate the data, run transparent rules, inspect evidence, manage recovery cases, and produce client-ready outputs.

Connect and validate revenue data

Qavoryn starts with the records that determine expected and actual revenue: contracts, contract lines, invoices, invoice lines, payments, payment allocations, usage periods, and pricing evidence.

Data quality checks identify missing client IDs, orphan invoice lines, duplicate invoices, invalid currencies, negative amounts, date mismatches, and records that should be reviewed before analysis.

Detect and verify leakage findings

The engine compares expected revenue with what was invoiced, allocated, or collected. Each finding includes the rule, source records, expected amount, actual amount, leakage amount, confidence, and evidence reason.

The system is designed to avoid duplicate inflation across repeated runs and to keep review-only signals out of monetary leakage totals.

Prioritise recovery and track outcomes

Findings become cases that can be triaged, confirmed, recovered, dismissed, written off, or closed. Recovery reporting separates gross leakage, net counted leakage, recovered value, and remaining pipeline.

Analysts can export report-ready datasets for executive review, finance operations, review support, or client diagnostics.

The five-step operating flow.

The sequence is simple enough for a first diagnostic and structured enough for repeat monitoring.

1

Upload or map data

Start with exports from billing systems, accounting tools, spreadsheets, or client operational data.

2

Validate data quality

Separate blocking issues from warnings so analysts know what can be trusted and what needs repair.

3

Run leakage rules

Detect missed invoices, underbilling, overdue balances, usage gaps, price mismatches, and review signals.

4

Review evidence and cases

Inspect source records, confirm findings, assign owners, and suppress duplicates or overlaps.

5

Recover and report outcomes

Track confirmed leakage, recovered value, dismissed items, and remaining pipeline, then export leadership-ready reporting with an evidence appendix.

Gross leakage

Total detected leakage before duplicate, overlap, dismissal, and review-only treatment is applied.

Net counted leakage

The conservative leakage view after duplicates, overlaps, dismissed items, non-monetised findings, and review-only signals are separated.

Review-only signals

Non-monetised signals are not counted as recovery value unless later evidence supports a monetary finding.

Data quality comes first

Blocked rows, warnings, and missing references are visible before the engine produces findings.

Evidence travels with every finding

Each finding keeps the rule, source records, expected amount, actual amount, leakage amount, and reason.

Recovery is tracked separately

Confirmed leakage, net counted leakage, recovered value, dismissed items, and remaining pipeline are separated for reporting.

Start with a focused revenue leakage diagnostic.

Review your contract-to-cash data, identify evidence-backed findings, and prioritise confirmed leakage, recovered value, dismissed items, and remaining pipeline.