Duplicate and near-duplicate payments
Look beyond exact matches to combinations of supplier, date, amount and invoice-reference similarity.
Bring financial exceptions, supplier activity and investigation evidence together. Find potential leakage, understand related signals and see what changed between compatible analyses.
Rows per CSV file, with background processing and saved results.
Look beyond exact matches to combinations of supplier, date, amount and invoice-reference similarity.
Surface unexpected payment-detail changes around sensitive supplier activity.
Highlight links between suppliers that may deserve investigation.
Look for clusters of payments structured immediately below authorisation limits.
Prioritise unusual activity based on supplier history, recency and payment behaviour.
Surface candidate overpayments and organise the underlying evidence for review.
Each stage adds evidence to the same investigation, from the first signal to the next review.
Review activity, related findings and investigation history in one supplier profile. Use transaction context to decide where a closer look is warranted.
See related signals together and open their supporting transactions. Connected findings help organise the review; they do not establish fraud or a recoverable loss.
Identify new, changed or no longer detected findings against a compatible previous analysis. Keep recurring historical findings distinct from newly appearing issues.
ANOVYR is designed to show the transaction, related context and reason it deserves attention — not simply generate another red warning icon.
2 linked payments · 8 days apart · similar references
£18,400Use an authorised data source or supported finance export for analysis.
Focus human attention on findings with enough context to justify investigation.
Capture useful, false-positive or uncertain outcomes and investigation notes.
Start with the data your team can provide. We agree source coverage, mappings and review scope during pilot onboarding.
CSV analysis supports up to 250,000 rows and 100 MiB per file. Follow background processing, then review saved findings, suppliers and source evidence.
Excel remains limited to 25,000 rows and 25 MiB. Connected accounting sources have their own coverage and limits.
Import Space Manager CSV or XLSX exports for transaction-level revenue review, including invoices, payments, credits and refunds where present in the export.
Compare that detail with selected Sage monthly revenue posting exports. Review matched periods, timing differences, unexplained differences and insufficient data with their supporting evidence.
Export-based onboarding; no native Space Manager API connection. The current Space Manager analysis limit is 25,000 records, including cumulative source history. Agree field mappings, periods and accounting basis before reconciliation. Differences are not automatically classified as financial leakage.
We are onboarding a limited number of design partners for controlled pilot testing.