AI Transaction Matching & Daily Reconciliations
Daily AI transaction matching, robust rules, and exception management to reconcile high volumes of transactions faster and more accurately.
- 99%+ Auto-Match Rates
- 96%+ Decrease in Time Spent on Daily Recs
- 35%+ Increase in FTE Productivity
Transaction Matching & Daily Reconciliations Use Cases
GL-to-Bank
Auto-match bank statements to the GL/cash subledger, clear timing differences, and surface true exceptions for investigation.
Credit Card Authorization & Batch Settlement
Reconcile payments, processor fees, bank data, and ERP receipts across providers and channels — without spreadsheets.
Accounts Payable (AP) Invoice to Payment
Automatically match supplier invoices to payments to reduce manual effort, prevent duplicate or incorrect payments, and improve visibility into cash outflows.
Payroll/HR Reconciliation
Reconcile payroll runs, tax withholdings, and benefit deductions to the GL to ensure employees are paid accurately and compliance risks are minimized.
Electronic Bank Transfer & Direct Debit Reconciliation
Match high-volume domestic bank transfers and direct debits (ACH/SEPA/Bacs/EFT, etc.) to originating files and ledger entries to quickly identify discrepancies.
Real Results. Real Impact.
Metro Bank Achieves 99% Match Rate Across 1 Million Daily Transactions
Highlights
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99.99% match rate, ensuring accuracy across one million daily transactions
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95% reduction in time spent on exception management
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65%+ reduction in FTEs while the bank grew 1000x in size
Without automation from Trintech, it would be impossible to accomplish the work that we do, both in quality and in volume.
Read Case StudyHow Abercrombie & Fitch Scaled to 150 Million Transactions a Year Without Adding Headcount
Highlights
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Automated 150M+ transactions annually
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Streamlined 200+ accounts and 800 transaction types (Apple Pay, Klarna, PayPal, etc.)
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Maintained growth with same headcount since 2005
With Trintech, I can tell you exactly which transaction wasn’t settled and why. This allows us to troubleshoot and mitigate our losses time and time again.
Read Case StudyH&R Block Effectively Reconciles Over a Million Transactions Monthly
Highlights
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Accurate, automated reconciliation of over 1 million transactions monthly
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Integration with Workday allows journals to route directly back into ERP
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Streamlined management of SOX tasks for auditors
We regularly have 200,000+ transactions every month, but during our busy season we’ll ramp up to over a million credit card transactions a month. Leveraging automation has been a huge help in managing this volume.
Read Case StudyManage Transaction Reconciliation at Scale
Connect & Normalize Data
Connect any data source in its raw form, like bank feeds, ERPs, POS, external sources, and more. Once the data is compiled into a governed data layer, automation works to standardize and enrich as it loads; this process removes the need to manually manipulate files.
Rule-based & AI-powered Matching
Multi-way, complex matching rules can handle any matching scenario. AI transaction matching uses business rules tailored to your organization combined with AI-assisted suggestions to automatically match items based on your defined variance and risk tolerances.
Run Reconciliations Daily
From thousands to millions, reconciliations can run daily to prevent end-of-period volumes and errors. Investigate early to prevent write-offs and exceptions before they occur, for fewer month-end issues.
Triage to Resolve Exceptions
With an automated solution you’ll have fewer transactions to investigate, so you can focus on researching and documenting the exceptions. Configure workflows to route unresolved matches for investigation and resolution by your team.
Full ERP Connectivity
Create and route journals back to your ERP, and advance reconciled matches and outstanding exceptions to certification — keeping the close moving forward with a full audit trail of actions taken.
Continually Improve Matching
Dashboards track match rates, exception trends, and matching rule effectiveness, so you can continuously raise auto-match rates and reduce risk period over period.
“Achieving a 99% automatic reconciliation rate has been a game-changer. We recently acquired a major UK retailer and seamlessly integrated their operations without increasing staff. This level of efficiency would have been unattainable with manual processes.”
“We saw demos of a few other solutions, including BlackLine, but Trintech’s matching capabilities are unmatched. No other solution on the market compares to how we can match with Trintech.”
“Other vendors restricted the number of accounts or transactions you could process. Trintech’s flexibility, customization, and strong training made it the clear choice.”
Daily Reconciliations for Any Industry
Featured Content — AI Transaction Matching & Daily Reconciliations
Frequently Asked Questions
How does automated transaction matching work?
Trintech’s software applies configurable rules to automatically match transactions across ledgers, bank statements, credit card statements, point of sale, merchant, and other external sources at a fraction of the time that manual processes take. This frees up time to spend on unmatched exceptions, improving the accuracy and reliability of your close.
How does AI transaction matching work?
AI automatically analyzes large data sets to identify matching transactions based on predictive models, significantly reducing manual intervention and improving reconciliation precision.
Can Trintech handle large transaction volumes, and multi-way matching?
Trintech’s solutions can handle enterprise-level transaction matching with millions of transactions daily, maintaining high speed and accuracy. The solutions can handle complex, multi-way matching capabilities, with the ability to match 1-to-1, 1-to-many, many-to-1, and many-to-many data sources.
How do you ensure AI-driven actions are fully controlled and approved?
You set guardrails (thresholds, account types, approval chains). AI can propose matches, journals, and rules – but with ultimate human approval.
How are exceptions handled within the platform?
Exceptions are automatically flagged and routed through configurable workflows for resolution and documentation, maintaining traceability and compliance.
Can matching rules be customized to fit the reconciliation process?
Yes. Users can define exact, fuzzy, or multi-field match criteria tailored to specific business requirements and transaction types.
How does Trintech automate multi-currency reconciliations across global entities?
Yes. Trintech solutions handle multi-currency and multi-entity reconciliations with configurable rules that account for exchange rate differences and localization needs.
Can Trintech integrate with multiple ERPs and payment providers without disrupting current systems?
Yes. Trintech is ERP-agnostic with certified connectors and open APIs; we also load files from banking cores, mobile banking processors, and POS.
How do approvals and audit trails work?
Every daily run can include optional sign-offs, role-based workflows, and complete evidence capture.