Import and validate
Bring in contracts, invoices, payments, allocations, usage records, and pricing evidence with data quality checks before analysis.
Revenue leakage hides in the gap between what you earned and what you collected.
Qavoryn helps finance and revenue teams detect, verify, and prioritise revenue leakage across contracts, invoices, payments, usage records, and recovery workflows.
Revenue leakage overview
Mock diagnostic workspace
Evidence verified
Gross leakage
$254K
Detected before exclusions
Net counted
$227K
Deduped conservative view
Confidence score
88%
Weighted average
Open cases
23
6 high priority
Evidence status
91%
Complete or reviewable
Recovery progress
$82K
In progress
Leakage by month
Detected vs recovered
Case pipeline
Current case status
Illustrative mock dashboard. Sample report values may differ.
Contract-to-cash analysisEvidence-based findingsGross-to-net leakage viewRecovery workflowEvidence-backed reporting
Revenue leakage is rarely one obvious mistake.
Small differences in contract setup, billing operations, usage rating, payment allocation, and recovery workflow can quietly compound into material value.
Missed invoices for active contracts
Invoices below contracted fees
Partial payment gaps and overdue balances
Usage records that were never billed
Contract line price mismatches
Currency and transparency review signals
Duplicate or overlapping findings
A practical operating layer for revenue leakage diagnostics.
Qavoryn turns messy revenue evidence into a controlled workflow for detection, review, prioritisation, recovery, and reporting.
Detect and score
Run rule-based checks that compare expected revenue with actual billing or collection and prioritise by value, confidence, and review priority.
Manage recovery
Turn findings into cases, track ownership, record recovery status, and produce clean report packs for leadership or client review.
How it works in three focused moves.
The workflow is built for analysts who need evidence and clean outputs, not a black-box score.
1
Connect and validate revenue data
Bring together contracts, invoices, payments, allocations, usage records, and pricing evidence.
2
Detect and verify leakage findings
Compare expected and actual revenue, preserve evidence, and prevent duplicate monetary inflation.
3
Prioritise recovery and track outcomes
Turn findings into cases, confirm amounts, track recovered value, and report progress.
Dashboard preview for finance and revenue teams.
Mock data illustrates the kind of analysis a diagnostic report can produce.
Leakage by rule type
Mock rule-level leakage for sample report
Confidence distribution
Illustrative confidence spread across findings
Use cases where leakage often hides.
Qavoryn is designed for revenue teams, finance operators, founders, auditors, and consultants working with complex contract-to-cash data.
Subscription and recurring revenue teams
SaaS subscription leakage
- Problem
- Plans, renewals, amendments, and invoice schedules drift over time.
- Example leakage type
- A renewed contract should bill at $10,000 per month but invoices continue at $7,500.
- How Qavoryn helps
- Compares active contract obligations to invoice totals and flags recurring underbilling.
- Expected output
- Confirmed monthly leakage, affected contract list, evidence snapshot, and recovery cases.
Metered, consumption, and API businesses
Usage-based billing leakage
- Problem
- Usage is captured operationally but not always rated, invoiced, or matched to the right period.
- Example leakage type
- A usage period calculates $4,000 of expected charge with no corresponding invoice line.
- How Qavoryn helps
- Links usage periods to billed amounts and separates not-billed usage from underbilled usage.
- Expected output
- Usage evidence appendix, expected versus billed amounts, and confidence-rated findings.
Finance managers and revenue operations
Contract underbilling
- Problem
- Manual contract interpretation and billing setup can create price or quantity errors.
- Example leakage type
- An invoice line bills 10 units at $80 while the contracted price is $100.
- How Qavoryn helps
- Checks invoice lines against contracted line prices and quantities.
- Expected output
- Line-level mismatch table with expected, actual, and leakage amounts.
Collections and finance operations teams
Unpaid invoice recovery
- Problem
- Outstanding value can be spread across multiple payments and allocations.
- Example leakage type
- A $12,000 invoice is overdue with $8,000 allocated, leaving $4,000 outstanding.
- How Qavoryn helps
- Uses payment allocations to calculate outstanding balances and avoid double counting.
- Expected output
- Open recovery pipeline, ageing view, owner status, and next action list.
Pricing, RevOps, and commercial finance
Pricing and discount mismatch
- Problem
- Discounts, price books, and renewal uplifts can remain in billing after terms change.
- Example leakage type
- A discount continues after expiry or renewal uplift is not reflected in the invoice.
- How Qavoryn helps
- Provides a structured path for future pricing checks and manual review signals.
- Expected output
- Pricing review queue, affected contracts, and future rule candidates.
Auditors, consultants, and advisory teams
Finance review support
- Problem
- Revenue diagnostics need clean evidence, not just a spreadsheet of suspected gaps.
- Example leakage type
- A client needs a defensible report pack with data quality notes and evidence references.
- How Qavoryn helps
- Packages findings, gross-to-net logic, data quality issues, and governance notes.
- Expected output
- Executive summary, rule breakdown, evidence appendix, recovery priorities, and governance notes.
Governance boundary
Conservative governance signals, not certification claims.
Qavoryn can flag transparency and governance-related signals for human review, but it does not claim legal, ESG, SDG, or compliance certification. Financial findings remain separate from non-monetised review signals.
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.