
Most tools flag anything that looks similar and leave your team to sort through it. Qlarity Prevention Software validates first, so only confirmed cases reach your queue.
Your ERP catches what it was built to catch: exact matches, within a single system. Most duplicate risk lives in the gaps between teams, entities and systems.
In complex organisations, the same invoice can move through two separate workflows at once, with neither team aware of the other.
When a duplicate surfaces, the case gets closed. There’s rarely time to understand why it happened. So it happens again.
Stopping a duplicate payment is the immediate win. Understanding why it nearly happened is what prevents the next one. The more you use it, the clearer the picture becomes, and the easier it is to fix issues at their core.
Get to the heart of Qlarity Prevention through this list of frequently asked questions.
Qlarity Prevention is duplicate payment prevention software for enterprise AP teams. It monitors outgoing payments before they’re released, identifies potential duplicates across systems and entities, and surfaces only confirmed cases for review. Built on 25 years of AP recovery work, it catches the cases that standard ERP checks were never designed to see.
AP teams and finance leaders in large, complex organisations, typically running multiple ERPs, entities, or operating across regions. Teams that have invested in controls and still find duplicate payments surfacing in recovery audits, or that have tried duplicate detection tools before and found the false positive rate created more work than it saved.
ERP duplicate detection is reliable within its boundaries: same reference, same vendor, same system. The problem is that most duplicate risk lives outside those boundaries. Invoice variations, cross-entity payments, duplicate vendor records: none of those trigger a standard flag. We have never worked with a single client where duplicate payments weren’t present, including those running best-in-class ERP environments.
Process mining maps how your transactions actually flow and surfaces deviations from the expected path. That’s useful for identifying where your process breaks down.
But most duplicate payments don’t happen in the normal flow. They happen in the exceptions: the invoice that arrives twice with a slightly different reference, the payment that crosses two systems with no shared visibility, the supplier that exists under two IDs in the vendor master. Those cases are where duplicates live, and confirming whether something is actually a duplicate requires looking at the invoice, the context, and the relationship between documents.
Qlarity Prevention was built specifically for how exceptions behave. When a case surfaces, it’s already been validated, not just flagged for your team to investigate.
Three things work together. The system starts with your full transaction history, so it already knows your environment before the first run. It draws on patterns refined across decades of recovery work and 75 million vendor records, so it recognises what genuine duplicates look like across industries and ERP environments. And every case your team reviews feeds back in. A confirmed duplicate reinforces a pattern, a false positive removes one. The result is a queue that gets more accurate over time. What reaches your team has already been through layered checks across systems and entities and validated
Qlarity Prevention supports multi-entity, multi-currency, and multi-ERP environments by consolidating data from different systems into one standardised data model, while preserving entity and source information from each.
For multi-currency, transactions are normalised to a common currency, so amounts are comparable across entities regardless of exchange rate differences.
To detect cross-entity duplicate payments, we combine data standardisation with advanced matching logic. This includes comparing supplier, invoice number (including fuzzy matching), amounts with tolerances, dates, and bank details across entities and systems.
The AI identifies less obvious duplicates and continuously improves detection based on historical data, enabling us to catch both exact and near-duplicate payments across the entire organisation.
Qlarity Prevention sits alongside your existing ERP and AP systems. Nothing gets replaced, and no ERP changes are required. Integration is deliberately lightweight. We connect to your ERP (SAP, Oracle, Dynamics, Infor, or others) and read only the data we need: invoice header data, supplier master data, and payment status. Line-level data can be included where available.
The connection is read-only, so there’s no risk of anything being written back to your systems. Depending on your setup and preference, we can can extract data via different methods:
Most clients are up and running faster than they expect.
No, and the two are designed to work together. Prevention catches complex duplicates before payment goes out. Recovery audit acts as the final assurance layer, looking back at what went out and confirming the controls are working. If something slips through at the prevention stage, it gets caught in recovery. Every case the recovery audit finds also feeds back into what prevention looks for on the next payment run. Prevention reduces what ends up in the recovery net. Recovery provides the assurance that nothing was missed.
A few minutes, typically. By the time a case reaches your queue, it’s already been ranked by risk and value, with invoices pulled and ready to compare. Your team makes the call. The investigation has already been done.
At Transparent, we handle some of the most sensitive financial data in the world. Security is built into every step of how we operate. We are SOC 2 Type II and SOC 3 certified, operating in line with ISO 27001/27002 standards. Your data is stored on encrypted servers on Microsoft Azure, access is role-based with multi-factor authentication, and client environments are fully isolated from one another.
Qlarity Prevention operates as a read-only layer. It never writes back to your ERP or interferes with your payment processes.
For detailed security documentation, speak to our team.