Let Kosh AI Match Every Transaction While Your Team Focuses on What Actually Needs Review
Most finance teams still reconcile transactions the same way they did ten years ago: export two reports, open a spreadsheet, and check each line against the other by hand. Kosh AI replaces that routine. It pulls transaction data straight from your source systems, lines it up record by record, and tells you exactly which transactions need a second look before you close the books.
You don't need to change your source systems or restructure how transactions are recorded. Kosh AI reads what's already there and handles the matching, the checking, and the reporting.
No two businesses move transaction data between the same set of systems. Kosh AI fits the systems you use, the industry you work in, and how your finance team is structured.
Transactions recorded in your ERP are matched against bank activity automatically, closing the gap between what's booked and what's cleared.
Transactions processed through a payment gateway are matched against orders and ledger entries, catching fee and timing differences.
High-volume POS transactions are matched against settlement and ledger records without staff checking terminals one by one.
Transactions moving between two internal systems are matched on both sides, with mismatches surfaced before they affect reporting.
High-volume purchase and inventory transactions are matched across ERP and supplier systems daily instead of waiting for month-end.
Billing and payment gateway transactions are reconciled automatically, without anyone building a side spreadsheet.
Transactions across POS, e-commerce, and ERP systems are matched every day, not just at period close.
Billing and payment transactions are reconciled across systems with records clean enough to hold up under audit.
Kosh AI centralizes transaction reconciliation for teams matching data across many systems, giving real-time visibility and built-in controls across every entity.
Kosh AI gives mid-market finance teams automated transaction matching without the headcount a manual process usually needs.
Reconciling transactions by hand ties up your finance team for hours every week, and the pressure to close on time makes it easy to miss something. Kosh AI takes that load off your team and gives you transaction data you can trust.
Records that used to take hours to compare line by line clear on their own, freeing up time at the end of every period.
Every transaction is checked the same way, every time, so an overlooked discrepancy stops being a recurring risk.
Instead of comparing reports line by line in spreadsheets, your team spends its time on the transactions that actually need judgment.
Mismatches are flagged as soon as they appear, not discovered weeks later during the close.
See which transactions are matched, which are open, and which need attention, without asking for a status update.
Every matched transaction keeps its supporting detail attached, so audit requests get answered in minutes.
Kosh AI connects directly with all major banks and ERPs, enabling real-time data sync for faster, more accurate reconciliations—no manual uploads, no delays.














A shared spreadsheet breaks down the moment transaction volume climbs, or a report arrives in a format nobody expected. Kosh AI is built for how a finance team actually reconciles data between systems.
Kosh AI applies logic suited to each system's data format, not one rigid rule forced onto every transaction.
A transaction that doesn't match comes with a likely reason and a suggested action, not just a red flag.
Every correction your team makes feeds back into how Kosh AI matches that type of transaction next time.
From a simple one-to-one match to a many-to-many transaction split, Kosh AI handles the reconciliation logic each one needs.
Transaction reconciliation software checks individual transaction records held in two or more systems—an ERP, a bank, a payment gateway, a point-of-sale system—to confirm they agree with each other down to the line item. It pulls data straight from each connected system, so your team sees which transactions tie out and which don't, without exporting reports and comparing them by hand in a spreadsheet. Kosh AI takes it further by clearing matched transactions on its own, flagging mismatches with a likely cause, and keeping the supporting records attached to every match. The result is transaction-level data your finance team can rely on for reporting and audits.

Here's what actually changes when transaction reconciliation moves off spreadsheets and onto software built to match records between systems.
| What You're Comparing | Automated Transaction Reconciliation | Doing It Manually |
|---|---|---|
| How Fast Transactions Are Matched | Most transactions match within hours of posting in each system. | Each transaction is checked one at a time, often over several days. |
| Room for Error | Matching logic applies the same way to every transaction, every time. | Copy-paste mistakes and missed rows are easy to overlook under deadline pressure. |
| Handling More Volume | Higher transaction counts are processed without extra headcount. | Growing transaction volume usually means more people needed to keep up. |
| Getting the Data In | Pulls transaction data directly from every connected system. | Someone has to export, format, and paste reports into a spreadsheet. |
| Cost Over Time | Less manual effort keeps the ongoing cost of reconciliation down. | Relies on hours of staff time every single period. |
| Seeing Match Status | A live view of what's matched, open, or flagged for review. | Status usually means waiting for someone to finish the next manual check. |
Set up Kosh AI, start matching transactions automatically, and close your next period with records you already trust.
Schedule a Quick DemoAs a business adds more systems, more payment channels, or simply more transactions, keeping records consistent between every system becomes a real strain on a finance team. A finance lead who could once check every report personally ends up relying on whoever happened to update a spreadsheet last, and that's exactly where errors creep in—a transaction recorded in one system but never picked up in another, a timing gap mistaken for a real discrepancy, a report that was "probably matching" without anyone confirming it. Transaction reconciliation software exists to close that gap before it turns into a reporting error or an audit finding.
The case for using it isn't just about saving time, though that's part of it. It's about consistency: every transaction gets checked the same way, every period, whether it's a high-volume POS sale or a one-off wire transfer. That consistency is what lets finance report numbers with actual confidence instead of a hope that nothing slipped through. It also means your team spends its hours on judgment calls—why did this transaction not match, is this a timing difference or a real error—rather than on the mechanical work of comparing two reports line by line.
There's a growth angle too. A business reconciling a few hundred transactions a month between two systems can often get by with manual checks and a disciplined routine. The moment that grows to tens of thousands of transactions across several systems, manual reconciliation simply can't keep pace without adding headcount every time the business expands. Transaction reconciliation software is built to scale with that growth instead of forcing you to hire your way through it, which is a large part of why finance teams bring it in well before a backlog forces the decision.
It's not only for large enterprises with complex system landscapes. Here's who tends to get the most value from it.
Anyone responsible for making sure records agree between systems benefits from having transactions matched automatically every day.
Once transaction volume outpaces what a spreadsheet-based process can reasonably handle, it's time to automate.
Reconciling data between an ERP, a payment gateway, and a POS system is exactly the repetitive work automation handles best.
If audit season means weeks of scrambling to document matched transactions, automated reconciliation builds that trail year-round instead.
Teams reconciling transactions on behalf of multiple business units need a consistent process that doesn't depend on tribal knowledge.
Finance leaders under pressure to report accurate numbers need a reconciliation process that doesn't trade speed for accuracy.
No tool is a perfect fit for every business. Here's an honest look at what transaction reconciliation software gets right, and what's worth planning around before you adopt it.
Transaction reconciliation software checks individual transaction records held in two or more systems to confirm they agree with each other, instead of a person comparing reports by hand each period. Kosh AI does this automatically, clearing matched transactions and flagging anything that doesn't tie out.
It pulls transaction data directly from each connected system, then compares records against each other using rules your team sets. Transactions that match cleanly get cleared automatically, and anything that doesn't gets flagged with a likely reason for review.
A reconciliation process that depends on manually comparing reports between systems gets slower and riskier as transaction volume grows. Transaction reconciliation software keeps that process consistent regardless of volume, which matters for accurate reporting, catching errors before they reach financial statements, and having a clean trail ready for auditors.
In practice, any two systems holding the same transactions can be reconciled, but ERPs, banks, payment gateways, and point-of-sale systems are usually the highest priority since they carry the most volume. Kosh AI supports all of these system types out of the box.
Account reconciliation software focuses on verifying the balance of a general ledger account against its supporting detail. Transaction reconciliation software works at a more granular level, matching individual transaction records between systems rather than account totals. Kosh AI handles both under one system.
Yes, most transaction reconciliation software is built to pull data directly from common ERPs. Kosh AI connects to SAP, Oracle, NetSuite, Sage, QuickBooks, and Xero, along with banks and payment gateways, so transaction data flows in without manual exports.
No, but it takes most of the manual comparison work off their plate. Kosh AI handles routine transaction matching automatically, so your finance team can focus on investigating mismatches and reviewing transactions that actually need judgment.
It gets flagged immediately, usually with a likely cause attached based on the type of transaction and what's driven similar mismatches before. From there, it's routed for review with the supporting records already pulled up, so it doesn't sit unresolved until someone notices during the close.
Most businesses can have core systems reconciling automatically within a few weeks, since the software connects to systems you already use. Kosh AI follows a similar timeline, with more complex, multi-system rollouts typically taking 3 to 6 months to fully configure.
Start with how many systems and how much transaction volume you need to reconcile, and how much of the process is still manual today. From there, compare options on matching accuracy, system connectivity, exception handling, and how workflows match your existing finance process. Kosh AI is built around exactly that checklist, but it applies to any software you're comparing.
Book a demo and watch Kosh AI reconcile your own transaction data across sources.
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