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Card Scheme Reconciliation
Card Scheme Reconciliation

Automatically reconcile card scheme transactions and settlement records.

Aurum reconciles scheme, processor and settlement records against your internal ledgers across authorisation, clearing and settlement, validates the interchange and scheme fees you were charged, and flags only the breaks that need a human, so your team investigates discrepancies rather than hunting for them. Save time, protect margins, and file your Mastercard QMR and Visa GOC returns without building them by hand.

Trusted by hundreds
of companies including

Ageas Insurance Limited Logo
Case studyIslands Insurance Logo

£1+

billion in transactions processed each year

3,000

transactions AI-matched to one bulk payment

97%

faster calculation and analysis of fee charges

Before and After

Manual Card Scheme Reconciliation vs Automated with Aurum

without Aurum
with
Data download
Scheme files, processor, settlement and bank records brought together by hand in excel
Auto-retrieved via API, SFTP or using AI, standardised on arrival
Matching
Scheme files, transaction detail and your records cross-checked by hand
Scheme files matched to transactions, then to your processor and back-office records, in one run
Timing differences
Interchange and scheme fees are trusted blindly
Validated against what you were charged, with discrepancies flagged
Exceptions
Payments that never clear, duplicates and chargebacks found only when you look
Caught as they occur, before small discrepancies add up to leakage
Frequency
QMR and GOC built by hand each quarter
Generated automatically in scheme format
Audit trail
Reconstructed after the fact
Immutable, every match and adjustment traceable

Start now with 6000+ banks, processors and platforms already integrated

PayPal
Worldpay
Skrill
Neteller
American express
Currencycloud
Mastercard
Nuvei
Trustly
Adyen
PaysafeCard
Gigadat
AstroPay
Checkout
MuchBetter
TrueLayer
PaymentIQ
Jeton
Shift4
Klarna
NatWest
Barclays
HSBC
Banking Circle
Lloyds
Santander
AIB
Bank of Scotland
Bank of Ireland
BMO
CitiBank
The Co-operative Bank
ClearBank
Bank of Valletta
Guarantee Trust Bank
Raiffeisen Bank
Société Générale
Sparkasse
Unicredit
Arbuthnot Latham
Korona
Clover
Zonal
Epos
iWallet
G4S
Loomis
Brinks
JPMorgan Chase
SVB
10Coins
BTC
BTC Cash
BVNK
ChipPay
Cryptopay
Ledger
Playhound
Volt
Airwallex
Braintree
GoCardless
Google Pay
MB WAY
Payretailers
Paysafe
Stripe
Visa
Ingenico
Western Union
Creation
Credit Style
Phoebus
Rates
Explore Integrations

Why automate your card scheme reconciliation?

Aligning settlement and transaction data from Visa and Mastercard with your own records by hand is slow, error-prone and easy to fall behind on, and the fees you are charged go unchecked. Here's what changes when Aurum does it for you.

Metal Background
Connections Screen

Avoid manual reformatting in spreadsheets

Start reconciliations with card scheme files, settlement records, processor data, bank balances and internal transaction records that have already been collected and standardised.

Exceptions Screen

Catch what doesn't add up immediately

Aurum surfaces missing transactions, duplicated records, chargebacks and settlement discrepancies across authorisation, clearing and settlement, so your team spends its time investigating breaks rather than hunting for them by hand.

Boreal Sky Background
Fee Comparison Screen

Validate your interchange and scheme fee charges

Aurum validates interchange calculations and scheme fees across reconciled transactions. Discrepancies are identified immediately so your team can protect margins and challenge incorrect fees.

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Regionality Settings Screen

Classify by regionality without interpreting it yourself

Scheme reporting depends on transactions sitting under the correct regionality, and getting it wrong is a common cause of rejected submissions. Aurum classifies from your existing transaction data and converts currency at the scheme's own rates, so the numbers are right before anyone reviews them.

QMR Templates Screen

Submit scheme reports without building them

Once reconciliations are complete, Aurum consolidates the data straight into Mastercard QMR and Visa GOC formats, validates it against submission rules, and archives every filing so past submissions stay available for query and audit.

How does automated Card Scheme Reconciliation work?

Trigger
Data extractionScheme clearing files, settlement reports, processor and chargeback data, bank records and internal ledgers are ingested automatically via API or SFTP, with no manual downloads.
StandardisationEvery source is normalised into one consistent shape, with references, timestamps and currencies aligned so the records can actually be matched.
Multi-stage matchingScheme files are matched to transactions, then to your processor and back-office records, across authorisation, clearing and settlement, in a single run.
Break detection and exception workflowsMissing transactions, duplicates, chargebacks and settlement discrepancies are raised as cases, assigned and tracked to resolution.
Settlement and fee validationInterchange and scheme fees are recalculated against what you were charged, and any difference is flagged for challenge before it becomes leakage.
Scheme reportingQMR and GOC outputs are generated in scheme format from the reconciled data, validated, and archived alongside every previous submission.

Payments teams see real value from automating card scheme reconciliation with Aurum.

 Why payments teams choose Aurum for card scheme reconciliation

Audit Screen

Scales with you

Aurum handles scheme data at scale, preserving full reconciliation history and audit trails while supporting unlimited transaction matching across payment cycles.

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Exceptions Details Screen

Keeps decisions in one place

Resolving disputes, chargebacks and settlement adjustments means finance, operations and payments teams working together, usually across several inboxes and spreadsheets. Aurum keeps the conversation and the decision inside the reconciliation workflow, so investigations stay together and every action is recorded.

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Audit Screen

Built for compliance and control

Discrepancies are surfaced automatically as cases, so your team can assign, comment on and track resolutions within configurable workflows. Every match, adjustment and break can be traced, reviewed and defended through a complete audit trail.

Transactions Screen

Shows the full picture

Transaction-level visibility across scheme data lets teams investigate item by item, with customisable dashboards showing reconciliation status, open cases and pending approvals.

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QMR and GOC Reports Screen

Payments specialists alongside the platform

Scheme reporting terminology is its own language. Our payments specialists know Mastercard and Visa requirements, so there's someone to ask before you file rather than after a submission is rejected.

See Product in Action

Automate your card scheme reconciliation with Aurum.

Book a demo to see how Aurum reconciles scheme, processor and settlement data against your ledgers, validates the fees you were charged, and files your scheme reports without your team assembling them.

Full visibility of interchange and scheme fees

Automatic clearing and settlement confirmation

Immediate identification of scheme breaks

Automated QMR and GOC reporting

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Trusted by hundreds of companies including

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Islands Insurance Logo

Related resources

Frequently Asked Questions

Card scheme reconciliation is the process of matching transaction data from card networks such as Visa, Mastercard and American Express with your internal systems. You track each transaction across its full lifecycle, from authorisation through clearing to final settlement, to confirm every record aligns. You compare multiple sources, including authorisation logs, clearing files from schemes and settlement reports. Where they match, funds, fees and transaction counts are confirmed correct. Where they don't, you have a break to investigate. It's the foundation of accurate financial reporting in any card payment environment.

Discrepancies occur when transaction data doesn't align between card schemes, processors and your internal systems, usually because of differences in timing, processing logic or data quality across the payment lifecycle. Common causes include delays between authorisation, clearing and settlement; missing or duplicated transactions in scheme files; inconsistent reference data such as transaction IDs or timestamps; and currency conversion or cross-border processing differences. Without structured matching rules and exception workflows, those gaps stay unresolved.

Authorised payments may fail to clear, duplicates may enter settlement files, and differences between your records and scheme data go unnoticed. Fee errors are the expensive one: interchange and scheme assessments apply across thousands or millions of transactions, so a small error compounds into significant revenue leakage. Schemes also operate strict timelines, so without reconciliation against scheme files you risk missing dispute stages, accepting invalid claims, or reporting incorrect outcomes.

They're the periodic data submissions card networks require from institutions involved in payment processing. QMR is the Quarterly Mastercard Report; GOC is Visa's Global Operating Certificate. Both cover transaction volumes, types and values over the period, along with cardholder activity, interchange fees, currency conversions and other transaction metrics.

Any entity that processes, accepts or facilitates card transactions. That includes banks and credit unions, payment processors, acquiring banks and merchant account providers, payment gateways, independent sales organisations and merchants.

Penalties vary with the severity and frequency of the error, and range from financial penalties and fines through to sanctions and, in serious cases, suspension from the network. That's why validating the data before filing matters as much as assembling it.

T140 is a data format used in Mastercard QMR reporting. It defines the structure of transaction data exchanged between financial institutions, processors and the network, covering metrics such as transaction amounts, merchant details and cardholder information.

Frequently, and throughout the settlement cycle rather than at the end of it. Reconciling as data arrives means issues surface early instead of accumulating across a reporting period and turning up in a quarterly submission.

Volume and complexity are the problem. Scheme data arrives in several formats across multiple regions, and a spreadsheet can't apply consistent matching logic across all of it or flag exceptions as they appear. It also leaves no audit trail, which matters when you're defending a fee challenge or a rejected submission.

Processor reporting tells you what your processor believes happened. Reconciliation tells you whether that matches the scheme files, your bank and your own ledger, and whether the fees you were charged were correct. The value is in the comparison, which is precisely what a single source can't give you.

Automated tools ingest large volumes of scheme and internal data, standardise the formats, and apply consistent matching logic to every transaction. Exceptions are flagged as they appear and outputs are audit-ready, so reconciliation cycles shorten and issues become visible sooner. The result is stronger control over payment operations and more reliable financial reporting.