Find the money your finance systems miss.
ANOVYR analyses accounting data for duplicate payments, supplier anomalies, control failures and financial leakage — then helps your team investigate the evidence behind them.
Financial risk overview
Accounting systems tell you what was posted. ANOVYR is built to ask what deserves investigation.
Why ANOVYR exists →See an ANOVYR investigation unfold.
This walkthrough uses synthetic demo data. Click through the same journey a finance user follows from detection to resolution.
Start with the exceptions worth reviewing.
ANOVYR analyses transactions and supplier behaviour, then ranks findings by risk and potential financial exposure.
- Duplicate and near-duplicate payments
- Supplier changes and unusual activity
- Threshold circumvention patterns
Rebuild the transaction story automatically.
Related evidence is brought into one place so a reviewer can understand why the finding exists without hunting across exports.
- Related transaction timeline
- Supplier and reference relationships
- Evidence ready for review
Two payments to ABC Logistics have matching values and near-identical invoice references, occurring eight days apart.
Question the evidence in plain English.
Ask ANOVYR is designed to explain findings using the information available in the investigation, rather than forcing users to interpret raw data alone.
- Why was this flagged?
- What evidence supports it?
- What should I check next?
Turn alerts into a recorded outcome.
Capture what the reviewer decided so findings do not disappear into spreadsheets, inboxes or memory.
- Useful / False positive / Unsure
- Investigation notes
- Evidence-ready outcome history
How should this finding be classified?
Financial leakage hides inside ordinary transactions.
The expensive problems are often not dramatic. They are duplicate invoices, changed bank details, dormant suppliers and payments that look normal until the surrounding context is examined.
Duplicate payments
Exact and near-duplicate patterns across amounts, suppliers, dates and references.
Supplier bank changes
Unexpected changes to payment details around sensitive supplier activity.
Approval splitting
Clusters of payments sitting immediately below authorisation thresholds.
Dormant supplier activity
Previously inactive suppliers returning with material payment activity.
Potential overpayments
Payments inconsistent with invoice values or the surrounding transaction context.
Built for investigation, not alert overload.
ANOVYR is designed to surface context alongside the warning so reviewers can decide whether a flag matters.
Explore ANOVYR Finance →Your ledger and ANOVYR do different jobs.
ANOVYR is not positioned as a replacement for Xero, QuickBooks or an ERP. It is an investigation layer above the financial data they hold.
Built for financial truth.
Financial intelligence for businesses and finance teams.
Surface potential leakage, supplier anomalies, control issues and unusual activity.
Royalty intelligence for rights holders and music teams.
Analyse statements, reconcile payments and investigate discrepancies across complex royalty flows.
Different teams. The same need for better evidence.
Turn anomaly detection into a higher-value client conversation.
Review findings, investigate exposure and build an evidence trail without replacing the client's accounting platform.
Explore advisor use cases → FOR INTERNAL FINANCE TEAMSGive AP and finance leaders another line of defence against leakage.
Prioritise unusual activity and record the outcome of investigations in one workflow.
Explore finance-team use cases →When something matters, make it easy to prove why.
ANOVYR's evidence-pack direction is designed to turn a finding into a compact review document: summary, transactions, supporting signals, reviewer notes and outcome.
View sample evidence packFinancial intelligence should earn your trust.
ANOVYR is being prepared for controlled external pilots with tenant separation, authenticated access, traceability and controlled data scope treated as hard requirements.
Review our security approachAuthenticated environments and role-aware access.
Customer data designed to remain logically separated.
Traceable investigation and key application activity.
Demo and sanitised data first where appropriate.
What is hiding in your financial data?
We are preparing ANOVYR Finance for controlled pilot testing with selected accountants, finance teams and businesses.
Start with demo or sanitised data. Live-data scope is agreed before onboarding.