FINANCIAL INTELLIGENCE · CONTROLLED PILOT

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.

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Built for investigation above your existing finance stack
Xero dataCSVFinance exportsDemo datasets
app.anovyr.com · Demo Company ● Secure session
FINANCE OVERVIEW

Financial risk overview

Analysis complete
Potential exposure£73,010Across 10 priority findings
Risk score88/100
High attention
Transactions63£170,798 analysed
PRIORITY QUEUEFindings requiring review
View all
Critical
Possible duplicate supplier paymentMatching amount · similar reference · 8 days apart
£18,400
High
Approval threshold splittingFour payments just below authorisation limit
£12,850
Medium
Dormant supplier reactivatedActivity resumed after 14 months
£8,420
NEW FINDINGSupplier bank details changed
ANOVYR ANALYSISPattern confidence 94%

Accounting systems tell you what was posted. ANOVYR is built to ask what deserves investigation.

Why ANOVYR exists
INTERACTIVE PRODUCT TOUR

See an ANOVYR investigation unfold.

This walkthrough uses synthetic demo data. Click through the same journey a finance user follows from detection to resolution.

DETECTION

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
FINDINGS10 priority findings
Critical
Possible duplicate supplier paymentABC Logistics · 94% pattern confidence
£18,400
High
Supplier bank detail changePayment occurred 2 days after change
£16,200
High
Approval splitting pattern4 linked transactions
£12,850
INVESTIGATION

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
FINDING #ANV-2841Possible duplicate supplier payment
Critical
Potential exposure£18,400

Two payments to ABC Logistics have matching values and near-identical invoice references, occurring eight days apart.

InvoiceINV-10482
Payment£18,400
SupplierABC Logistics
ASK ANOVYR

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?
YOU

Why has this payment been flagged?

A
ANOVYR

The payment matches another £18,400 transaction to ABC Logistics. The invoice references differ by one character and both payments were made within eight days. I would verify whether both invoices represent separate underlying obligations before treating the finding as confirmed.

Ask a follow-up question…
RESOLUTION

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
INVESTIGATION OUTCOME

How should this finding be classified?

Finding reviewedOutcome recorded in investigation history
WHAT ANOVYR LOOKS FOR

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.

High

Duplicate payments

Exact and near-duplicate patterns across amounts, suppliers, dates and references.

Critical

Supplier bank changes

Unexpected changes to payment details around sensitive supplier activity.

High

Approval splitting

Clusters of payments sitting immediately below authorisation thresholds.

Medium

Dormant supplier activity

Previously inactive suppliers returning with material payment activity.

High

Potential overpayments

Payments inconsistent with invoice values or the surrounding transaction context.

LESS NOISE

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 →
WHY NOT JUST USE ACCOUNTING SOFTWARE?

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.

Accounting systemANOVYR
Record invoices and payments✓ Core functionReads context
General ledger and bookkeeping✓ Core functionNot a replacement
Cross-transaction anomaly investigationLimited / rules vary✓ Core focus
Supplier behaviour and linked risk signalsVaries by platform✓ Investigation focus
Explain why a finding deserves reviewNot the primary job✓ Evidence + context
Reviewer outcome historySeparate workflow✓ Designed in
EVIDENCE, NOT JUST FLAGS

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 pack
ANOVYRINVESTIGATION EVIDENCE
FINDINGPossible duplicate supplier payment
CRITICAL
POTENTIAL EXPOSURE£18,400
Reviewer outcome: Confirmed overpayment
SECURITY BY DESIGN

Financial 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 approach
Controlled access

Authenticated environments and role-aware access.

Tenant separation

Customer data designed to remain logically separated.

Auditability

Traceable investigation and key application activity.

Controlled data scope

Demo and sanitised data first where appropriate.

ANOVYR PILOT

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.