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.
£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
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.


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.

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.


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.


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.

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?
Payments teams see real value from automating card scheme reconciliation with Aurum.
Why payments teams choose Aurum for card scheme reconciliation

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


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.


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.

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.


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
See the product in action
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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.












